Note: the module "R" cannot be unloaded because it was not loaded. WARNING: ignoring environment value of R_HOME R Under development (unstable) (2025-03-27 r88065) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > cargs <- commandArgs(trailingOnly=TRUE) > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "349", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2025-03-28/deps.csv", task.str = "342", release = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_release_1.17.0.tar.gz", master = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/16169352/R-devel/342" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache [1] "/tmp/th798/16169352/R-devel/342/R.cache" > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (rev.dep <- deps.df$Package[task.id]) [1] "doremi" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/16169352/R-devel/342/library" [2] "/projects/genomic-ml/R/R-devel/library" > options(repos=c(#this should be in ~/.Rprofile too. + CRAN="http://cloud.r-project.org")) > print(Sys.time()) [1] "2025-03-28 00:40:36 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/16169352/R-devel/342/library' (as 'lib' is unspecified) trying URL 'http://cloud.r-project.org/src/contrib/doremi_1.0.0.tar.gz' Content type 'application/x-gzip' length 680658 bytes (664 KB) ================================================== downloaded 664 KB * installing *source* package 'doremi' ... ** this is package 'doremi' version '1.0.0' ** package 'doremi' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (doremi) The downloaded source packages are in '/tmp/th798/16169352/Rtmp71mItL/downloaded_packages' > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 19.205 1.463 27.366 > print(Sys.time()) [1] "2025-03-28 00:41:04 MST" > downloaded_packages <- file.path( + tempdir(), + "downloaded_packages") > dl.glob <- file.path( + downloaded_packages, + paste0(rev.dep,"_*.tar.gz")) > rev.dep.dl.row <- cbind(rev.dep, Sys.glob(dl.glob)) > colnames(rev.dep.dl.row) <- c("pkg","path") > rev.dep.release.tar.gz <- normalizePath(rev.dep.dl.row[,"path"], mustWork=TRUE) > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2025-03-28 00:41:04 MST" Installing package into '/tmp/th798/16169352/R-devel/342/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.0' ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/16169352/R-devel/342/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-03-28 00:41:32 MST" * using log directory '/tmp/th798/16169352/R-devel/342/doremi.Rcheck' * using R Under development (unstable) (2025-03-27 r88065) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'doremi/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'doremi' version '1.0.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'doremi' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... NOTE Problems with news in 'NEWS.md': Cannot extract version info from the following section titles: New features * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... NOTE Namespace in Imports field not imported from: 'gridExtra' All declared Imports should be used. * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... NOTE checkRd: (-1) analyze.1order.Rd:49: Lost braces 49 | Although only the first derivative is used here, using a higher order can enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) analyze.2order.Rd:44: Lost braces 44 | 2 in second order differential equations), for instance, order=4 might enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) calculate.fda.Rd:29: Lost braces 29 | method described in several sources, such as in \doi{10.1007/b98888}{Ramsay et al. (2009)} | ^ checkRd: (-1) calculate.fda.Rd:30: Lost braces 30 | and \doi{10.1080/00273171.2015.1123138}{Chow et al. (2016)}. | ^ checkRd: (-1) calculate.glla.Rd:34: Lost braces 34 | described in \doi{10.4324/9780203864746}{Boker et al.(2010)}. | ^ checkRd: (-1) calculate.gold.Rd:33: Lost braces 33 | method described in \doi{10.1080/00273171.2010.498294}{Deboeck (2010)}. The code available on this paper was extracted and adapted for non constant time steps. | ^ checkRd: (-1) optimum_param.Rd:47: Lost braces 47 | Using a higher order can enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) rotation.Rd:37: Lost braces 37 | \doi{10.1016/j.yhbeh.2012.12.007}{(Courvoisier et al., 2013)}. | ^ * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed optimum_param 17.108 0.060 17.265 analyze.2order 10.696 0.153 10.960 plot.doremiparam 10.795 0.045 10.898 * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... OK * checking PDF version of manual ... OK * DONE Status: 3 NOTEs See '/tmp/th798/16169352/R-devel/342/doremi.Rcheck/00check.log' for details. [1] "2025-03-28 00:48:43 MST" [1] "2025-03-28 00:48:43 MST" Installing package into '/tmp/th798/16169352/R-devel/342/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.99' ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/16169352/R-devel/342/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-03-28 00:49:12 MST" * using log directory '/tmp/th798/16169352/R-devel/342/doremi.Rcheck' * using R Under development (unstable) (2025-03-27 r88065) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'doremi/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'doremi' version '1.0.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'doremi' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... NOTE Problems with news in 'NEWS.md': Cannot extract version info from the following section titles: New features * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... NOTE Namespace in Imports field not imported from: 'gridExtra' All declared Imports should be used. * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... NOTE checkRd: (-1) analyze.1order.Rd:49: Lost braces 49 | Although only the first derivative is used here, using a higher order can enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) analyze.2order.Rd:44: Lost braces 44 | 2 in second order differential equations), for instance, order=4 might enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) calculate.fda.Rd:29: Lost braces 29 | method described in several sources, such as in \doi{10.1007/b98888}{Ramsay et al. (2009)} | ^ checkRd: (-1) calculate.fda.Rd:30: Lost braces 30 | and \doi{10.1080/00273171.2015.1123138}{Chow et al. (2016)}. | ^ checkRd: (-1) calculate.glla.Rd:34: Lost braces 34 | described in \doi{10.4324/9780203864746}{Boker et al.(2010)}. | ^ checkRd: (-1) calculate.gold.Rd:33: Lost braces 33 | method described in \doi{10.1080/00273171.2010.498294}{Deboeck (2010)}. The code available on this paper was extracted and adapted for non constant time steps. | ^ checkRd: (-1) optimum_param.Rd:47: Lost braces 47 | Using a higher order can enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) rotation.Rd:37: Lost braces 37 | \doi{10.1016/j.yhbeh.2012.12.007}{(Courvoisier et al., 2013)}. | ^ * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed optimum_param 17.197 0.069 17.362 analyze.2order 10.832 0.142 11.063 plot.doremiparam 10.894 0.040 10.994 * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... OK * checking PDF version of manual ... OK * DONE Status: 3 NOTEs See '/tmp/th798/16169352/R-devel/342/doremi.Rcheck/00check.log' for details. [1] "2025-03-28 00:56:16 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) --- R_Under_development_unstable_2025-03-27_r88065/release_1.17.0.Rcheck/00check.log 2025-03-28 00:48:43.551794464 -0700 +++ R_Under_development_unstable_2025-03-27_r88065/master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.Rcheck/00check.log 2025-03-28 00:56:16.548946196 -0700 @@ -86,9 +86,9 @@ * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed -optimum_param 17.108 0.060 17.265 -analyze.2order 10.696 0.153 10.960 -plot.doremiparam 10.795 0.045 10.898 +optimum_param 17.197 0.069 17.362 +analyze.2order 10.832 0.142 11.063 +plot.doremiparam 10.894 0.040 10.994 * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... OK > library(data.table, lib.loc=R.home("library")) > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } > WARNING: ignoring environment value of R_HOME R version 4.4.3 (2025-02-28) -- "Trophy Case" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > cargs <- commandArgs(trailingOnly=TRUE) > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "349", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2025-03-28/deps.csv", task.str = "342", release = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_release_1.17.0.tar.gz", master = "/scratch/th798/data.table-revdeps/2025-03-28/data.table_master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/16169352/R-release/342" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache [1] "/tmp/th798/16169352/R-release/342/R.cache" > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (rev.dep <- deps.df$Package[task.id]) [1] "doremi" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/16169352/R-release/342/library" [2] "/projects/genomic-ml/R/R-release/library" > options(repos=c(#this should be in ~/.Rprofile too. + CRAN="http://cloud.r-project.org")) > print(Sys.time()) [1] "2025-03-28 00:56:23 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/16169352/R-release/342/library' (as 'lib' is unspecified) trying URL 'http://cloud.r-project.org/src/contrib/doremi_1.0.0.tar.gz' Content type 'application/x-gzip' length 680658 bytes (664 KB) ================================================== downloaded 664 KB * installing *source* package 'doremi' ... ** package 'doremi' successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading Warning in check_dep_version() : ABI version mismatch: lme4 was built with Matrix ABI version 1 Current Matrix ABI version is 2 Please re-install lme4 from source or restore original 'Matrix' package ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location Warning in check_dep_version() : ABI version mismatch: lme4 was built with Matrix ABI version 1 Current Matrix ABI version is 2 Please re-install lme4 from source or restore original 'Matrix' package ** testing if installed package can be loaded from final location Warning in check_dep_version() : ABI version mismatch: lme4 was built with Matrix ABI version 1 Current Matrix ABI version is 2 Please re-install lme4 from source or restore original 'Matrix' package ** testing if installed package keeps a record of temporary installation path * DONE (doremi) The downloaded source packages are in '/tmp/th798/16169352/RtmpU9OgFh/downloaded_packages' > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 16.816 1.032 19.096 > print(Sys.time()) [1] "2025-03-28 00:56:42 MST" > downloaded_packages <- file.path( + tempdir(), + "downloaded_packages") > dl.glob <- file.path( + downloaded_packages, + paste0(rev.dep,"_*.tar.gz")) > rev.dep.dl.row <- cbind(rev.dep, Sys.glob(dl.glob)) > colnames(rev.dep.dl.row) <- c("pkg","path") > rev.dep.release.tar.gz <- normalizePath(rev.dep.dl.row[,"path"], mustWork=TRUE) > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2025-03-28 00:56:42 MST" Installing package into '/tmp/th798/16169352/R-release/342/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/16169352/R-release/342/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-03-28 00:57:09 MST" * using log directory '/tmp/th798/16169352/R-release/342/doremi.Rcheck' * using R version 4.4.3 (2025-02-28) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'doremi/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'doremi' version '1.0.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'doremi' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... NOTE Problems with news in 'NEWS.md': Cannot extract version info from the following section titles: New features * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... NOTE Namespace in Imports field not imported from: 'gridExtra' All declared Imports should be used. * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... NOTE checkRd: (-1) analyze.1order.Rd:49: Lost braces 49 | Although only the first derivative is used here, using a higher order can enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) analyze.2order.Rd:44: Lost braces 44 | 2 in second order differential equations), for instance, order=4 might enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) calculate.fda.Rd:29: Lost braces 29 | method described in several sources, such as in \doi{10.1007/b98888}{Ramsay et al. (2009)} | ^ checkRd: (-1) calculate.fda.Rd:30: Lost braces 30 | and \doi{10.1080/00273171.2015.1123138}{Chow et al. (2016)}. | ^ checkRd: (-1) calculate.glla.Rd:34: Lost braces 34 | described in \doi{10.4324/9780203864746}{Boker et al.(2010)}. | ^ checkRd: (-1) calculate.gold.Rd:33: Lost braces 33 | method described in \doi{10.1080/00273171.2010.498294}{Deboeck (2010)}. The code available on this paper was extracted and adapted for non constant time steps. | ^ checkRd: (-1) optimum_param.Rd:47: Lost braces 47 | Using a higher order can enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) rotation.Rd:37: Lost braces 37 | \doi{10.1016/j.yhbeh.2012.12.007}{(Courvoisier et al., 2013)}. | ^ * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ...sh: line 1: 2550981 Segmentation fault (core dumped) LANGUAGE=en _R_CHECK_INTERNALS2_=1 '/home/th798/R/R-release/bin/R' --vanilla > 'doremi-Ex.Rout' 2>&1 < 'doremi-Ex.R' ERROR Running examples in 'doremi-Ex.R' failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: analyze.1order > ### Title: DOREMI first order analysis function > ### Aliases: analyze.1order > ### Keywords: analysis exponential first-order > > ### ** Examples > > myresult <- analyze.1order(data = cardio, + id = "id", + input = "load", + time = "time", + signal = "hr", + dermethod ="gold", + derparam = 5) *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: 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42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 48L, 50L, 48L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 205L, 208L, 211L, 214L, 217L, 220L, 223L, 226L, 229L, 232L, 235L, 238L, 241L, 244L, 247L, 250L, 253L, 256L, 259L, 262L, 265L, 268L, 271L, 274L, 277L, 280L, 283L, 286L, 289L, 292L, 295L, 298L, 301L, 304L, 307L, 310L, 313L, 316L, 319L, 322L, 325L, 328L, 331L, 334L, 337L, 340L, 343L, 346L, 349L, 352L, 355L, 358L, 361L, 364L, 367L, 370L, 373L, 376L, 379L, 382L, 385L, 388L, 391L, 394L, 396L, 398L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 420L, 422L, 424L, 426L, 428L, 430L, 432L, 434L, 436L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 458L, 460L, 462L, 464L, 466L, 468L, 470L, 472L, 474L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 496L, 498L, 500L, 502L, 504L, 506L, 508L, 510L, 512L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 534L, 536L, 538L, 540L, 542L, 544L, 546L, 548L, 550L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 572L, 574L, 576L, 578L, 580L, 582L, 584L, 586L, 588L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 610L, 612L, 614L, 616L, 618L, 620L, 622L, 624L, 626L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 648L, 650L, 653L, 656L, 659L, 662L, 665L, 668L, 671L, 674L, 677L, 680L, 683L, 686L, 689L, 692L, 695L, 698L, 701L, 704L, 707L, 710L, 713L, 716L, 719L, 722L, 725L, 728L, 731L, 734L, 737L, 740L, 743L, 746L, 749L, 752L, 755L, 758L, 761L, 764L, 767L, 770L, 773L, 776L, 779L, 782L, 785L, 788L, 791L, 794L, 797L, 800L, 803L, 806L, 809L, 812L, 815L, 818L, 821L, 824L, 827L, 830L, 833L, 836L, 839L, 842L, 845L, 848L, 851L, 854L, 857L, 860L, 863L, 866L, 869L, 872L, 875L, 878L, 881L, 884L, 887L, 890L, 893L, 896L, 899L, 902L, 905L, 908L, 911L, 914L, 917L, 920L, 923L, 926L, 929L, 932L, 935L, 938L, 941L, 944L, 947L, 950L, 953L, 956L, 959L, 962L, 965L, 968L, 971L, 974L, 977L, 980L, 983L, 986L, 989L, 992L, 995L, 998L, 1001L, 1004L, 1007L, 1010L, 1013L, 1016L, 1019L, 1022L, 1025L, 1028L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1047L, 1049L, 1051L, 1053L, 1055L, 1057L, 1059L, 1061L, 1063L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1085L, 1087L, 1089L, 1091L, 1093L, 1096L, 1099L, 1102L, 1105L, 1108L, 1111L, 1114L, 1117L, 1120L, 1123L, 1126L, 1129L, 1132L, 1135L, 1138L, 1141L, 1144L, 1147L, 1150L, 1153L, 1156L, 1159L, 1162L, 1165L, 1168L, 1171L, 1174L, 1177L, 1180L, 1183L, 1186L, 1189L, 1192L, 1195L, 1198L, 1201L, 1204L, 1207L, 1210L, 1213L, 1216L, 1219L, 1222L, 1225L, 1228L, 1231L, 1234L, 1237L, 1240L, 1243L, 1245L, 1248L, 1251L, 1254L, 1257L, 1260L, 1263L, 1266L, 1269L, 1272L, 1275L, 1278L, 1281L, 1284L, 1287L, 1290L, 1293L, 1296L, 1299L, 1302L, 1305L, 1308L, 1311L, 1314L, 1317L, 1320L, 1323L, 1326L, 1329L, 1332L, 1335L, 1338L, 1341L, 1344L, 1347L, 1350L, 1353L, 1356L, 1359L, 1362L, 1365L, 1368L, 1371L, 1374L, 1377L, 1380L, 1383L, 1386L, 1389L, 1392L, 1395L, 1398L, 1401L, 1404L, 1407L, 1410L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1426L, 1429L, 1432L, 1435L, 1438L, 1441L, 1444L, 1447L, 1450L, 1453L, 1456L, 1459L, 1462L, 1465L, 1468L, 1471L, 1474L, 1477L, 1480L, 1483L, 1486L, 1489L, 1492L, 1495L, 1498L, 1501L, 1504L, 1507L, 1510L, 1513L, 1516L, 1519L, 1522L, 1525L, 1528L, 1531L, 1534L, 1537L, 1540L, 1543L, 1546L, 1549L, 1552L, 1555L, 1558L, 1561L, 1564L, 1567L, 1570L, 1573L, 1576L, 1579L, 1582L, 1585L, 1588L, 1591L, 1594L, 1597L, 1600L, 1603L, 1606L, 1609L, 1612L, 1615L, 1618L, 1621L, 1624L, 1627L, 1630L, 1633L, 1636L, 1639L, 1642L, 1645L, 1648L, 1651L, 1654L, 1657L, 1660L, 1663L, 1665L, 1667L, 1669L, 1672L, 1675L, 1678L, 1681L, 1684L, 1687L, 1690L, 1693L, 1696L, 1699L, 1702L, 1705L, 1708L, 1711L, 1714L, 1717L, 1720L, 1723L, 1726L, 1729L, 1732L, 1735L, 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"599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902", "903", "904", "905", "906", "907", "908", "909", "910", "911", "912", "913", "914", "915", "916", "917", "918", "919", "920", "921", "922", "923", "924", "925", "926", "927", "928", "929", "930", "931", "932", "933", "934", "935", "936", "937", "938", "939", "940", "941", "942", "943", "944", "945", "946", "947", "948", "949", "950", "951", "952", "953", "954", "955", "956", "957", "958", "959", "960", "961", "962", "963", "968", "969", "970", "971", "972", "973", "974", "975", "976", "977", "978", "979", "980", "981", "982", "983", "984", "985", "986", "987", "988", "989", "990", "991", "992", "993", "994", "995", "996", "997", "998", "999", "1000", "1001", "1002", "1003", "1004", "1005", "1006", "1007", "1008", "1009", "1010", "1011", "1012", "1013", "1014", "1015", "1016", "1017", "1018", "1019", "1020", "1021", "1022", "1023", "1024", "1025", "1026", "1027", "1028", "1029", "1030", "1031", "1032", "1033", "1034", "1035", "1036", "1037", "1038", "1039", "1040", "1041", "1042", "1047", "1048", "1049", "1050", "1051", "1052", "1053", "1054", "1055", "1056", "1057", "1058", "1059", "1060", "1061", "1062", "1063", "1064", "1065", "1066", "1067", "1068", "1069", "1070", "1071", "1072", "1073", "1074", "1075", "1076", "1077", "1078", "1079", "1080", "1081", "1082", "1083", "1084", "1085", "1086", "1087", "1088", "1089", "1090", "1091", "1092", "1093", "1094", "1095", "1096", "1097", "1098", "1099", "1100", "1101", "1102", "1103", "1104", "1105", "1106", "1107", "1108", "1109", "1110", "1111", "1112", "1113", "1114", "1115", "1116", "1117", "1122", "1123", "1124", "1125", "1126", "1127", "1128", "1129", "1130", "1131", "1132", "1133", "1134", "1135", "1136", "1137", "1138", "1139", "1140", "1141", "1142", "1143", "1144", "1145", "1146", "1147", "1148", "1149", "1150", "1151", "1152", "1153", "1154", "1155", "1156", "1157", "1158", "1159", "1160", "1161", "1162", "1163", "1164", "1165", "1166", "1167", "1168", "1169", "1170", "1171", "1172", "1173", "1174", "1175", "1176", "1177", "1178", "1179", "1180", "1181", "1182", "1183", "1184", "1185", "1186", "1187", "1188", "1189", "1190", "1191", "1192", "1193", "1194", "1195", "1196", "1197", "1198", "1199", "1200", "1201", "1202", "1203", "1204", "1205", "1206", "1207", "1208", "1209", "1210", "1211", "1212", "1217", "1218", "1219", "1220", "1221", "1222", "1223", "1224", "1225", "1226", "1227", "1228", "1229", "1230", "1231", "1232", "1233", "1234", "1235", "1236", "1237", "1238", "1239", "1240", "1241", "1242", "1243", "1244", "1245", "1246", "1247", "1248", "1249", "1250", "1251", "1252", "1253", "1254", "1255", "1256", "1257", "1258", "1259", "1260", "1261", "1262", "1263", "1264", "1265", "1266", "1267", "1268", "1269", "1270", "1271", "1272", "1273", "1274", "1275", "1276", "1277", "1278", "1279", "1280", "1281", "1282", "1283", "1284", "1285", "1286", "1287", "1288", "1289", "1290", "1291", "1292", "1293", "1294", "1295", "1300", "1301", "1302", "1303", "1304", "1305", "1306", "1307", "1308", "1309", "1310", "1311", "1312", "1313", "1314", "1315", "1316", "1317", "1318", "1319", "1320", "1321", "1322", "1323", "1324", "1325", "1326", "1327", "1328", "1329", "1330", "1331", "1332", "1333", "1334", "1335", "1336", "1337", "1338", "1339", "1340", "1341", "1342", "1343", "1344", "1345", "1346", "1347", "1348", "1349", "1350", "1351", "1352", "1353", "1358", "1359", "1360", "1361", "1362", "1363", "1364", "1365", "1366", "1367", "1368", "1369", "1370", "1371", "1372", "1373", "1374", "1375", "1376", "1377", "1378", "1379", "1380", "1381", "1382", "1383", "1384", "1385", "1386", "1387", "1388", "1389", "1390", "1391", "1392", "1393", "1394", "1395", "1396", "1397", "1398", "1399", "1400", "1401", "1402", "1403", "1404", "1405", "1406", "1407", "1412", "1413", "1414", "1415", "1416", "1417", "1418", "1419", "1420", "1421", "1422", "1423", "1424", "1425", "1426", "1427", "1428", "1429", "1430", "1431", "1432", "1433", "1434", "1435", "1436", "1437", "1438", "1439", "1440", "1441", "1442", "1443", "1444", "1445", "1446", "1447", "1448", "1449", "1450", "1451", "1452", "1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682")), x = c(1, 40, 120.2, 1, 50, 121.6, 1, 50, 122.4, 1, 50, 123, 1, 55, 124.2, 1, 60, 125, 1, 65, 125.6, 1, 70, 127.2, 1, 75, 129, 1, 75, 130.6, 1, 75, 131.2, 1, 75, 132.4, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136.6, 1, 75, 139.8, 1, 80, 142.4, 1, 85, 144.4, 1, 75, 145.8, 1, 65, 146.4, 1, 55, 145.8, 1, 40, 144.2, 1, 25, 141.2, 1, 25, 137, 1, 25, 132.2, 1, 25, 127.8, 1, 25, 123.2, 1, 25, 119.8, 1, 25, 117, 1, 25, 115.4, 1, 25, 115, 1, 25, 114.6, 1, 25, 114.4, 1, 25, 115, 1, 25, 115.2, 1, 25, 114.8, 1, 25, 114.8, 1, 25, 115.6, 1, 25, 116.6, 1, 25, 117, 1, 25, 116.2, 1, 25, 114.8, 1, 25, 113, 1, 25, 110.4, 1, 25, 108.4, 1, 25, 108.2, 1, 72, 1, 72, 1, 71.6, 1, 72, 1, 72.4, 1, 72.6, 1, 72.8, 1, 73, 1, 72.8, 1, 72.8, 1, 73.2, 1, 73.4, 1, 73, 1, 73, 1, 73.2, 1, 72.6, 1, 71.6, 1, 71, 1, 70.6, 1, 70.6, 1, 70.8, 1, 71.4, 1, 72.4, 1, 73, 1, 72.6, 1, 72.8, 1, 72.6, 1, 72.4, 1, 72.6, 1, 73.2, 1, 73.4, 1, 73.8, 1, 10, 73.8, 1, 20, 74.2, 1, 30, 75.2, 1, 40, 76.6, 1, 50, 78.8, 1, 50, 81.4, 1, 50, 83.8, 1, 50, 85.8, 1, 50, 87.8, 1, 50, 89.6, 1, 50, 90.8, 1, 50, 91.4, 1, 55, 91.6, 1, 60, 91.4, 1, 65, 91.4, 1, 70, 92, 1, 75, 93.4, 1, 75, 95.2, 1, 75, 97.4, 1, 75, 98.8, 1, 75, 100.2, 1, 75, 101.2, 1, 75, 102.4, 1, 75, 103.2, 1, 80, 104, 1, 85, 105, 1, 90, 106.2, 1, 95, 107, 1, 100, 107.8, 1, 100, 109.6, 1, 100, 111.2, 1, 100, 112.6, 1, 85, 114.2, 1, 70, 115.6, 1, 55, 116.2, 1, 40, 116, 1, 25, 114.6, 1, 25, 112, 1, 25, 108.6, 1, 25, 104, 1, 25, 100.2, 1, 25, 96.8, 1, 25, 92.2, 1, 25, 88.8, 1, 25, 86.6, 1, 25, 84.2, 1, 25, 82.4, 1, 25, 82.6, 1, 25, 82.4, 1, 25, 81.8, 1, 25, 81.2, 1, 25, 80.2, 1, 25, 79.6, 1, 25, 79.6, 1, 25, 80, 1, 25, 80.6, 1, 25, 81.2, 1, 25, 81.4, 1, 25, 81.6, 1, 25, 81.6, 1, 25, 81.2, 1, 25, 81.2, 1, 25, 81.4, 1, 25, 81.8, 1, 104, 1, 104.4, 1, 101.8, 1, 104, 1, 105.6, 1, 105.6, 1, 104.2, 1, 105.2, 1, 104.8, 1, 103.2, 1, 104, 1, 104.6, 1, 103.4, 1, 103.2, 1, 102.2, 1, 100.2, 1, 99, 1, 98.8, 1, 97.2, 1, 98.8, 1, 101, 1, 100, 1, 100.4, 1, 102.4, 1, 104.6, 1, 104.8, 1, 107, 1, 108.2, 1, 109.4, 1, 106.8, 1, 106, 1, 105, 1, 102.2, 1, 101.6, 1, 100.8, 1, 100.8, 1, 103.6, 1, 107.2, 1, 107, 1, 102.4, 1, 102.6, 1, 99.8, 1, 98.2, 1, 96.8, 1, 102.4, 1, 102.2, 1, 102.8, 1, 102.8, 1, 106, 1, 107.8, 1, 109.4, 1, 110.4, 1, 109.4, 1, 107, 1, 105, 1, 102.8, 1, 100.8, 1, 101, 1, 100.6, 1, 100.6, 1, 101.6, 1, 102.6, 1, 103, 1, 102.8, 1, 104, 1, 104.6, 1, 103.8, 1, 103, 1, 104, 1, 102.6, 1, 101.6, 1, 103.8, 1, 103.4, 1, 102.4, 1, 102.2, 1, 100, 1, 99, 1, 99.8, 1, 99.4, 1, 99.2, 1, 101.8, 1, 100.4, 1, 99.4, 1, 98.2, 1, 99.2, 1, 98.8, 1, 99.4, 1, 101.4, 1, 102.6, 1, 101.2, 1, 99.6, 1, 99.8, 1, 99.2, 1, 100, 1, 100.6, 1, 97, 1, 95.8, 1, 94.8, 1, 93.4, 1, 93.4, 1, 100.2, 1, 100.4, 1, 97.6, 1, 97.8, 1, 99.6, 1, 97, 1, 98.4, 1, 101.8, 1, 104.6, 1, 102.2, 1, 101.4, 1, 101, 1, 101.4, 1, 98.4, 1, 100.4, 1, 101.2, 1, 101.4, 1, 100.8, 1, 101.8, 1, 100, 1, 100.4, 1, 101, 1, 101.8, 1, 104.2, 1, 105.4, 1, 108.2, 1, 107.8, 1, 107.6, 1, 10, 105.4, 1, 20, 108, 1, 30, 110.6, 1, 40, 114.8, 1, 50, 118.2, 1, 50, 122.2, 1, 50, 122.2, 1, 50, 121.8, 1, 50, 122.4, 1, 55, 124.2, 1, 60, 125.2, 1, 65, 125, 1, 70, 125.6, 1, 75, 125.8, 1, 75, 126.8, 1, 75, 130.2, 1, 75, 135.6, 1, 75, 139.2, 1, 75, 143.6, 1, 75, 147, 1, 75, 147.8, 1, 80, 149, 1, 85, 148.8, 1, 90, 148.8, 1, 95, 149.8, 1, 100, 152.6, 1, 100, 155.2, 1, 100, 158, 1, 100, 160, 1, 100, 161.6, 1, 100, 162, 1, 100, 162.4, 1, 100, 163.4, 1, 105, 164, 1, 110, 164.6, 1, 115, 165.2, 1, 120, 165.6, 1, 125, 165.2, 1, 125, 165.6, 1, 125, 166, 1, 125, 166.8, 1, 125, 167.8, 1, 125, 169.4, 1, 125, 170.4, 1, 125, 171.2, 1, 105, 171.6, 1, 85, 172, 1, 65, 171, 1, 45, 169, 1, 25, 166.8, 1, 25, 164.4, 1, 25, 160.6, 1, 25, 157.6, 1, 25, 155.2, 1, 25, 152.4, 1, 25, 149, 1, 25, 147.4, 1, 25, 145.2, 1, 25, 143.8, 1, 25, 141.2, 1, 25, 140, 1, 25, 138.4, 1, 25, 137.8, 1, 25, 135.8, 1, 25, 135.6, 1, 25, 134.6, 1, 25, 133.2, 1, 25, 131.4, 1, 25, 131.8, 1, 25, 131.8, 1, 25, 130.2, 1, 25, 130, 1, 25, 129.2, 1, 10, 75.6, 1, 20, 76.6, 1, 30, 79, 1, 40, 82.4, 1, 50, 85, 1, 50, 87.8, 1, 50, 89.4, 1, 50, 91.2, 1, 50, 92.6, 1, 50, 93.8, 1, 50, 94.8, 1, 50, 95.8, 1, 55, 96.6, 1, 60, 97.8, 1, 65, 99, 1, 70, 100.4, 1, 75, 101.6, 1, 75, 103, 1, 75, 104.2, 1, 75, 105.2, 1, 75, 105.8, 1, 75, 106.6, 1, 75, 107.4, 1, 80, 108, 1, 85, 108.8, 1, 90, 110, 1, 95, 111, 1, 100, 111.8, 1, 100, 112.6, 1, 100, 113.4, 1, 100, 114.2, 1, 100, 115.2, 1, 100, 116.4, 1, 100, 117.8, 1, 100, 119.4, 1, 85, 121.4, 1, 70, 123, 1, 55, 124, 1, 40, 125, 1, 25, 125.8, 1, 25, 125.8, 1, 25, 125.6, 1, 25, 121.2, 1, 25, 121.8, 1, 25, 120.4, 1, 25, 113.4, 1, 25, 111.8, 1, 25, 114.4, 1, 25, 111.8, 1, 25, 107.2, 1, 20, 111.6, 1, 15, 110.4, 1, 10, 108.6, 1, 5, 106.8, 1, 108.8, 1, 107.6, 1, 106.8, 1, 106.6, 1, 106.2, 1, 105.8, 1, 105.4, 1, 104.8, 1, 104.4, 1, 106.4, 1, 105.8, 1, 105.4, 1, 105, 1, 104.6, 1, 101.8, 1, 101.6, 1, 101.2, 1, 101.2, 1, 101, 1, 100.8, 1, 100.8, 1, 100.6, 1, 100.4, 1, 100.8, 1, 101, 1, 101, 1, 101.2, 1, 100.8, 1, 60.4, 1, 60.4, 1, 59.4, 1, 10, 60.2, 1, 15, 58.8, 1, 20, 60.2, 1, 25, 62.6, 1, 30, 65.6, 1, 25, 67.8, 1, 25, 70, 1, 25, 71.8, 1, 25, 73.2, 1, 25, 75.6, 1, 25, 77, 1, 25, 77.8, 1, 30, 79.2, 1, 35, 80.4, 1, 40, 80.6, 1, 45, 83.6, 1, 50, 86, 1, 50, 86.6, 1, 50, 87.6, 1, 50, 89.8, 1, 50, 90.6, 1, 50, 92, 1, 50, 95, 1, 50, 97.2, 1, 55, 98, 1, 60, 98.8, 1, 65, 100.6, 1, 60, 102, 1, 55, 102.6, 1, 45, 101.6, 1, 35, 100.2, 1, 25, 97.6, 1, 25, 95, 1, 25, 92.2, 1, 25, 89.4, 1, 25, 86.2, 1, 25, 83.6, 1, 25, 80.6, 1, 25, 78.2, 1, 25, 76.6, 1, 25, 75.2, 1, 25, 73.6, 1, 25, 72.2, 1, 25, 71, 1, 25, 70, 1, 25, 69.2, 1, 25, 68.4, 1, 25, 67.6, 1, 25, 66.8, 1, 25, 66.2, 1, 73, 1, 10, 73.6, 1, 15, 80, 1, 20, 78, 1, 25, 79.6, 1, 30, 81.8, 1, 25, 83.6, 1, 30, 80, 1, 35, 84.8, 1, 40, 86.8, 1, 45, 88.6, 1, 50, 90.6, 1, 50, 93, 1, 50, 94.8, 1, 50, 96, 1, 50, 97.4, 1, 50, 98.4, 1, 50, 99.4, 1, 55, 100.2, 1, 60, 101, 1, 65, 101.6, 1, 68, 102.4, 1, 71, 103, 1, 69, 104, 1, 59, 105, 1, 49, 105.8, 1, 41, 106, 1, 33, 105.8, 1, 25, 104.8, 1, 25, 104.6, 1, 25, 103.6, 1, 25, 102.8, 1, 25, 101.8, 1, 25, 101.4, 1, 25, 100.2, 1, 25, 98.2, 1, 25, 95.6, 1, 25, 93, 1, 25, 90.4, 1, 25, 87.8, 1, 25, 85.8, 1, 25, 85, 1, 25, 84.2, 1, 25, 83, 1, 25, 81.6, 1, 25, 81.6, 1, 25, 80.6, 1, 25, 79.8, 1, 25, 79.4, 1, 25, 79.4, 1, 25, 79, 1, 25, 78.8, 1, 25, 78.8, 1, 25, 78.8, 1, 25, 78.2, 1, 25, 77.6, 1, 25, 77.8, 1, 64, 1, 65.2, 1, 65.6, 1, 67, 1, 67.2, 1, 10, 69.2, 1, 20, 73, 1, 30, 78.2, 1, 40, 84, 1, 50, 90, 1, 50, 93, 1, 50, 94.2, 1, 50, 94.8, 1, 50, 94.2, 1, 50, 94.6, 1, 50, 95.2, 1, 50, 96.4, 1, 55, 96.8, 1, 60, 97.4, 1, 65, 98.6, 1, 70, 100.4, 1, 75, 101.8, 1, 75, 104, 1, 75, 107.2, 1, 75, 109, 1, 75, 110.2, 1, 75, 111.6, 1, 75, 112.8, 1, 75, 112.4, 1, 80, 112.4, 1, 85, 113.4, 1, 90, 114.6, 1, 95, 116.8, 1, 100, 119.6, 1, 100, 122.6, 1, 100, 124.8, 1, 100, 126.6, 1, 100, 129, 1, 100, 130.6, 1, 100, 132, 1, 100, 133.6, 1, 105, 135.2, 1, 110, 135.6, 1, 115, 137, 1, 120, 138.8, 1, 125, 140.4, 1, 125, 141.8, 1, 125, 143.4, 1, 125, 145, 1, 125, 146, 1, 125, 147.2, 1, 125, 148.8, 1, 125, 150.6, 1, 105, 151.8, 1, 85, 151.8, 1, 65, 150.2, 1, 45, 146.4, 1, 25, 140.6, 1, 25, 134, 1, 25, 127.6, 1, 25, 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119.4, 1, 85, 119.8, 1, 90, 120.8, 1, 95, 122.2, 1, 100, 123.4, 1, 100, 124.6, 1, 100, 125.8, 1, 100, 126.8, 1, 100, 128.6, 1, 100, 130.4, 1, 100, 131.4, 1, 100, 126.2, 1, 105, 127.6, 1, 110, 128.6, 1, 115, 129, 1, 120, 129.8, 1, 125, 137, 1, 125, 137.6, 1, 125, 138.2, 1, 125, 139.8, 1, 125, 141.6, 1, 125, 143.6, 1, 125, 145.6, 1, 125, 147.6, 1, 130, 148.8, 1, 135, 150, 1, 140, 150.8, 1, 145, 151.6, 1, 150, 152.2, 1, 150, 153.6, 1, 150, 154.8, 1, 125, 156.2, 1, 100, 157.6, 1, 75, 158.4, 1, 50, 158.2, 1, 25, 157, 1, 25, 154.4, 1, 25, 151, 1, 25, 147.2, 1, 25, 142.2, 1, 25, 137.8, 1, 25, 133.4, 1, 25, 129.2, 1, 25, 125.4, 1, 20, 122.8, 1, 15, 119.2, 1, 10, 116, 1, 5, 113.4, 1, 110.6, 1, 108.2, 1, 105.6, 1, 103.8, 1, 101.8, 1, 99.8, 1, 97.8, 1, 30, 90.8, 1, 40, 92.2, 1, 50, 94.2, 1, 50, 96.4, 1, 50, 98.4, 1, 50, 99.2, 1, 50, 100.2, 1, 50, 101, 1, 50, 100.8, 1, 50, 101.8, 1, 55, 102.8, 1, 60, 103.4, 1, 65, 104.4, 1, 70, 106.2, 1, 75, 106.8, 1, 75, 107.2, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.8, 1, 75, 108.4, 1, 75, 109.2, 1, 80, 109.8, 1, 85, 111.2, 1, 90, 112.6, 1, 95, 113.4, 1, 100, 114, 1, 100, 114.6, 1, 100, 114.4, 1, 100, 113.8, 1, 100, 114, 1, 100, 114, 1, 100, 114.4, 1, 100, 115.2, 1, 105, 116, 1, 110, 116.6, 1, 115, 117.6, 1, 120, 118.4, 1, 125, 118.8, 1, 125, 119.2, 1, 125, 119.6, 1, 125, 119.6, 1, 125, 119.4, 1, 125, 119.4, 1, 125, 119.8, 1, 125, 120, 1, 131, 120.4, 1, 137, 121, 1, 143, 121.2, 1, 149, 121.4, 1, 155, 121.6, 1, 155, 122, 1, 155, 122.2, 1, 155, 122.8, 1, 155, 123.2, 1, 155, 123.4, 1, 155, 123.8, 1, 155, 124.2, 1, 161, 124.6, 1, 167, 125.2, 1, 173, 126.2, 1, 179, 126.8, 1, 185, 127.4, 1, 185, 128, 1, 185, 128.6, 1, 185, 129.2, 1, 185, 130.2, 1, 185, 131.4, 1, 185, 132.2, 1, 153, 133, 1, 121, 133.4, 1, 89, 132.8, 1, 57, 131.8, 1, 25, 130.4, 1, 25, 128.2, 1, 25, 125.8, 1, 25, 123.8, 1, 25, 121.8, 1, 25, 120, 1, 25, 119, 1, 25, 118, 1, 25, 117, 1, 25, 115.8, 1, 25, 114.8, 1, 25, 113.4, 1, 25, 112.2, 1, 25, 111.2, 1, 25, 110.4, 1, 25, 110, 1, 20, 109.6, 1, 15, 109.4, 1, 10, 109.2, 1, 5, 109, 1, 108.4, 1, 107.8, 1, 107, 1, 106.2, 1, 105.4, 1, 104.6, 1, 104.4, 1, 104.2, 1, 104, 1, 103.6, 1, 102.4, 1, 102.6, 1, 102.8, 1, 102.8, 1, 103.2, 1, 104.6, 1, 105.8, 1, 106.4, 1, 10, 87.6, 1, 20, 88.2, 1, 30, 90.2, 1, 40, 93.6, 1, 50, 96.6, 1, 50, 101.6, 1, 50, 106.2, 1, 50, 108.8, 1, 50, 111.4, 1, 50, 113.2, 1, 50, 113.8, 1, 55, 115.4, 1, 60, 117.2, 1, 65, 119.2, 1, 70, 122.6, 1, 75, 126, 1, 75, 128.8, 1, 75, 131.6, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136, 1, 75, 137.2, 1, 75, 137.8, 1, 80, 138.4, 1, 85, 140, 1, 90, 141.8, 1, 95, 142.8, 1, 100, 145.2, 1, 97, 147, 1, 94, 147.6, 1, 91, 148.8, 1, 88, 150.6, 1, 85, 151.2, 1, 85, 153.2, 1, 85, 155.2, 1, 90, 156.4, 1, 78, 157.8, 1, 66, 159.8, 1, 54, 160.6, 1, 42, 159.4, 1, 25, 156.8, 1, 25, 152.4, 1, 25, 147.4, 1, 25, 143, 1, 25, 139.2, 1, 25, 136.4, 1, 25, 134.8, 1, 25, 133.8, 1, 25, 132.8, 1, 25, 132.6, 1, 25, 132.8, 1, 25, 131.6, 1, 25, 130.2, 1, 25, 129, 1, 25, 128.2, 1, 25, 126.4, 1, 25, 125.8, 1, 25, 126.2, 1, 25, 124.6, 1, 25, 123.2, 1, 25, 122.2, 1, 25, 122.2, 1, 25, 121.4, 1, 25, 122.2, 1, 25, 123.6, 1, 25, 124.6, 1, 25, 124.4, 1, 25, 123.2, 1, 25, 122.4, 1, 25, 120.6, 1, 25, 119, 1, 25, 119, 1, 25, 119.4, 1, 25, 119.2, 1, 25, 119.4), factors = list()), theta = c(1, 0, 0, 1, 0, 1), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 8L, 9L, 9L, 10L, 9L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 14L, 15L, 15L, 16L, 15L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 20L, 21L, 21L, 22L, 21L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 26L, 27L, 27L, 28L, 27L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 32L, 33L, 33L, 34L, 33L, 34L, 35L, 36L, 36L, 37L, 36L, 37L, 38L, 39L, 39L, 40L, 39L, 40L, 41L, 42L, 42L, 43L, 42L, 43L, 44L, 45L, 45L, 46L, 45L, 46L, 47L, 48L, 48L, 49L, 48L, 49L, 50L, 51L, 51L, 52L, 51L, 52L, 53L, 54L, 54L, 55L, 54L, 55L, 56L, 57L, 57L, 58L, 57L, 58L, 59L, 60L, 60L, 61L, 60L, 61L, 62L), p = c(0L, 1L, 3L, 6L, 7L, 9L, 12L, 13L, 15L, 18L, 19L, 21L, 24L, 25L, 27L, 30L, 31L, 33L, 36L, 37L, 39L, 42L, 43L, 45L, 48L, 49L, 51L, 54L, 55L, 57L, 60L, 61L, 63L, 66L, 67L, 69L, 72L, 73L, 75L, 78L, 79L, 81L, 84L, 85L, 87L, 90L, 91L, 93L, 96L, 97L, 99L, 102L, 103L, 105L, 108L, 109L, 111L, 114L, 115L, 117L, 120L, 121L, 123L, 126L), Dim = c(63L, 63L), Dimnames = list( NULL, NULL), x = c(1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1), factors = list()), Lind = c(1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L), n = 1602L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(signal_derivate1 = c(0.0900000000000003, 0.12, 0.0700000000000003, 0.11, 0.0800000000000001, 0.0500000000000003, 0.11, 0.140000000000001, 0.21, 0.22, 0.0499999999999998, 0.0100000000000002, 0.0599999999999996, 0.2, 0.34, 0.279999999999999, 0.25, 0.179999999999999, 0.0972328977709456, 0.0190350546551086, -0.106345475910693, -0.209335507541786, -0.381852953676158, 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59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 205L, 208L, 211L, 214L, 217L, 220L, 223L, 226L, 229L, 232L, 235L, 238L, 241L, 244L, 247L, 250L, 253L, 256L, 259L, 262L, 265L, 268L, 271L, 274L, 277L, 280L, 283L, 286L, 289L, 292L, 295L, 298L, 301L, 304L, 307L, 310L, 313L, 316L, 319L, 322L, 325L, 328L, 331L, 334L, 337L, 340L, 343L, 346L, 349L, 352L, 355L, 358L, 361L, 364L, 367L, 370L, 373L, 376L, 379L, 382L, 385L, 388L, 391L, 394L, 396L, 398L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 420L, 422L, 424L, 426L, 428L, 430L, 432L, 434L, 436L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 458L, 460L, 462L, 464L, 466L, 468L, 470L, 472L, 474L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 496L, 498L, 500L, 502L, 504L, 506L, 508L, 510L, 512L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 534L, 536L, 538L, 540L, 542L, 544L, 546L, 548L, 550L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 572L, 574L, 576L, 578L, 580L, 582L, 584L, 586L, 588L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 610L, 612L, 614L, 616L, 618L, 620L, 622L, 624L, 626L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 648L, 650L, 653L, 656L, 659L, 662L, 665L, 668L, 671L, 674L, 677L, 680L, 683L, 686L, 689L, 692L, 695L, 698L, 701L, 704L, 707L, 710L, 713L, 716L, 719L, 722L, 725L, 728L, 731L, 734L, 737L, 740L, 743L, 746L, 749L, 752L, 755L, 758L, 761L, 764L, 767L, 770L, 773L, 776L, 779L, 782L, 785L, 788L, 791L, 794L, 797L, 800L, 803L, 806L, 809L, 812L, 815L, 818L, 821L, 824L, 827L, 830L, 833L, 836L, 839L, 842L, 845L, 848L, 851L, 854L, 857L, 860L, 863L, 866L, 869L, 872L, 875L, 878L, 881L, 884L, 887L, 890L, 893L, 896L, 899L, 902L, 905L, 908L, 911L, 914L, 917L, 920L, 923L, 926L, 929L, 932L, 935L, 938L, 941L, 944L, 947L, 950L, 953L, 956L, 959L, 962L, 965L, 968L, 971L, 974L, 977L, 980L, 983L, 986L, 989L, 992L, 995L, 998L, 1001L, 1004L, 1007L, 1010L, 1013L, 1016L, 1019L, 1022L, 1025L, 1028L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1047L, 1049L, 1051L, 1053L, 1055L, 1057L, 1059L, 1061L, 1063L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1085L, 1087L, 1089L, 1091L, 1093L, 1096L, 1099L, 1102L, 1105L, 1108L, 1111L, 1114L, 1117L, 1120L, 1123L, 1126L, 1129L, 1132L, 1135L, 1138L, 1141L, 1144L, 1147L, 1150L, 1153L, 1156L, 1159L, 1162L, 1165L, 1168L, 1171L, 1174L, 1177L, 1180L, 1183L, 1186L, 1189L, 1192L, 1195L, 1198L, 1201L, 1204L, 1207L, 1210L, 1213L, 1216L, 1219L, 1222L, 1225L, 1228L, 1231L, 1234L, 1237L, 1240L, 1243L, 1245L, 1248L, 1251L, 1254L, 1257L, 1260L, 1263L, 1266L, 1269L, 1272L, 1275L, 1278L, 1281L, 1284L, 1287L, 1290L, 1293L, 1296L, 1299L, 1302L, 1305L, 1308L, 1311L, 1314L, 1317L, 1320L, 1323L, 1326L, 1329L, 1332L, 1335L, 1338L, 1341L, 1344L, 1347L, 1350L, 1353L, 1356L, 1359L, 1362L, 1365L, 1368L, 1371L, 1374L, 1377L, 1380L, 1383L, 1386L, 1389L, 1392L, 1395L, 1398L, 1401L, 1404L, 1407L, 1410L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1426L, 1429L, 1432L, 1435L, 1438L, 1441L, 1444L, 1447L, 1450L, 1453L, 1456L, 1459L, 1462L, 1465L, 1468L, 1471L, 1474L, 1477L, 1480L, 1483L, 1486L, 1489L, 1492L, 1495L, 1498L, 1501L, 1504L, 1507L, 1510L, 1513L, 1516L, 1519L, 1522L, 1525L, 1528L, 1531L, 1534L, 1537L, 1540L, 1543L, 1546L, 1549L, 1552L, 1555L, 1558L, 1561L, 1564L, 1567L, 1570L, 1573L, 1576L, 1579L, 1582L, 1585L, 1588L, 1591L, 1594L, 1597L, 1600L, 1603L, 1606L, 1609L, 1612L, 1615L, 1618L, 1621L, 1624L, 1627L, 1630L, 1633L, 1636L, 1639L, 1642L, 1645L, 1648L, 1651L, 1654L, 1657L, 1660L, 1663L, 1665L, 1667L, 1669L, 1672L, 1675L, 1678L, 1681L, 1684L, 1687L, 1690L, 1693L, 1696L, 1699L, 1702L, 1705L, 1708L, 1711L, 1714L, 1717L, 1720L, 1723L, 1726L, 1729L, 1732L, 1735L, 1738L, 1741L, 1744L, 1747L, 1750L, 1753L, 1756L, 1759L, 1762L, 1765L, 1768L, 1771L, 1774L, 1777L, 1780L, 1783L, 1786L, 1789L, 1792L, 1795L, 1798L, 1801L, 1804L, 1807L, 1810L, 1813L, 1816L, 1819L, 1822L, 1825L, 1828L, 1831L, 1834L, 1837L, 1840L, 1843L, 1846L, 1849L, 1852L, 1855L, 1858L, 1861L, 1864L, 1867L, 1870L, 1873L, 1876L, 1879L, 1882L, 1885L, 1888L, 1891L, 1894L, 1896L, 1898L, 1900L, 1903L, 1906L, 1909L, 1912L, 1915L, 1918L, 1921L, 1924L, 1927L, 1930L, 1933L, 1936L, 1939L, 1942L, 1945L, 1948L, 1951L, 1954L, 1957L, 1960L, 1963L, 1966L, 1969L, 1972L, 1975L, 1978L, 1981L, 1984L, 1987L, 1990L, 1993L, 1996L, 1999L, 2002L, 2005L, 2008L, 2011L, 2014L, 2017L, 2020L, 2023L, 2026L, 2029L, 2032L, 2035L, 2038L, 2041L, 2044L, 2047L, 2050L, 2053L, 2056L, 2059L, 2062L, 2065L, 2067L, 2069L, 2071L, 2074L, 2077L, 2080L, 2083L, 2086L, 2089L, 2092L, 2095L, 2098L, 2101L, 2104L, 2107L, 2110L, 2113L, 2116L, 2119L, 2122L, 2125L, 2128L, 2131L, 2134L, 2137L, 2140L, 2143L, 2146L, 2149L, 2152L, 2155L, 2158L, 2161L, 2164L, 2167L, 2170L, 2173L, 2176L, 2178L, 2180L, 2182L, 2184L, 2186L, 2188L, 2190L, 2192L, 2194L, 2196L, 2198L, 2200L, 2202L, 2204L, 2206L, 2208L, 2210L, 2212L, 2214L, 2216L, 2218L, 2220L, 2222L, 2224L, 2227L, 2230L, 2233L, 2236L, 2239L, 2242L, 2245L, 2248L, 2251L, 2254L, 2257L, 2260L, 2263L, 2266L, 2269L, 2272L, 2275L, 2278L, 2281L, 2284L, 2287L, 2290L, 2293L, 2296L, 2299L, 2302L, 2305L, 2308L, 2311L, 2314L, 2317L, 2320L, 2323L, 2326L, 2329L, 2332L, 2335L, 2338L, 2341L, 2344L, 2347L, 2350L, 2353L, 2356L, 2359L, 2362L, 2365L, 2368L, 2371L, 2374L, 2377L, 2380L, 2383L, 2386L, 2389L, 2392L, 2395L, 2398L, 2401L, 2404L, 2407L, 2410L, 2413L, 2416L, 2419L, 2422L, 2425L, 2428L, 2431L, 2434L, 2437L, 2440L, 2443L, 2446L, 2449L, 2452L, 2455L, 2458L, 2461L, 2464L, 2467L, 2470L, 2473L, 2476L, 2479L, 2482L, 2485L, 2488L, 2491L, 2494L, 2497L, 2500L, 2503L, 2506L, 2509L, 2512L, 2515L, 2518L, 2521L, 2524L, 2527L, 2530L, 2533L, 2536L, 2539L, 2542L, 2545L, 2548L, 2551L, 2554L, 2557L, 2560L, 2563L, 2566L, 2569L, 2572L, 2575L, 2578L, 2581L, 2584L, 2587L, 2590L, 2593L, 2596L, 2599L, 2602L, 2605L, 2608L, 2611L, 2614L, 2617L, 2620L, 2623L, 2626L, 2629L, 2632L, 2635L, 2638L, 2641L, 2644L, 2647L, 2650L, 2653L, 2656L, 2659L, 2662L, 2665L, 2668L, 2671L, 2674L, 2677L, 2680L, 2683L, 2686L, 2689L, 2692L, 2695L, 2698L, 2701L, 2704L, 2707L, 2710L, 2713L, 2716L, 2719L, 2722L, 2725L, 2728L, 2731L, 2734L, 2737L, 2740L, 2743L, 2746L, 2749L, 2752L, 2755L, 2758L, 2761L, 2764L, 2767L, 2770L, 2773L, 2776L, 2779L, 2782L, 2785L, 2788L, 2791L, 2794L, 2797L, 2800L, 2803L, 2806L, 2809L, 2812L, 2815L, 2818L, 2821L, 2824L, 2827L, 2830L, 2833L, 2836L, 2839L, 2842L, 2845L, 2848L, 2851L, 2854L, 2857L, 2860L, 2863L, 2866L, 2869L, 2872L, 2875L, 2878L, 2881L, 2884L, 2887L, 2890L, 2893L, 2896L, 2899L, 2902L, 2905L, 2908L, 2911L, 2914L, 2917L, 2920L, 2923L, 2926L, 2929L, 2932L, 2935L, 2938L, 2941L, 2944L, 2947L, 2950L, 2953L, 2956L, 2959L, 2962L, 2965L, 2967L, 2969L, 2971L, 2973L, 2975L, 2977L, 2979L, 2981L, 2983L, 2985L, 2987L, 2989L, 2991L, 2993L, 2995L, 2997L, 2999L, 3001L, 3003L, 3005L, 3007L, 3009L, 3011L, 3014L, 3017L, 3020L, 3023L, 3026L, 3029L, 3032L, 3035L, 3038L, 3041L, 3044L, 3047L, 3050L, 3053L, 3056L, 3059L, 3062L, 3065L, 3068L, 3071L, 3074L, 3077L, 3080L, 3083L, 3086L, 3089L, 3092L, 3095L, 3098L, 3101L, 3104L, 3107L, 3110L, 3113L, 3116L, 3119L, 3122L, 3125L, 3128L, 3131L, 3134L, 3137L, 3140L, 3143L, 3146L, 3149L, 3152L, 3155L, 3158L, 3161L, 3164L, 3167L, 3170L, 3173L, 3176L, 3179L, 3182L, 3185L, 3188L, 3191L, 3194L, 3197L, 3200L, 3203L, 3206L, 3209L, 3212L, 3215L, 3218L, 3221L, 3224L, 3227L, 3230L, 3233L, 3236L, 3239L, 3242L, 3245L, 3248L, 3251L, 3254L, 3257L, 3260L, 3263L, 3266L, 3269L, 3272L, 3275L, 3278L, 3281L, 3284L, 3287L, 3290L, 3293L, 3296L, 3299L, 3302L, 3305L, 3308L, 3311L, 3314L, 3317L, 3320L, 3323L, 3326L, 3329L, 3332L, 3335L, 3338L, 3341L, 3344L, 3347L, 3350L, 3353L, 3356L, 3359L, 3362L, 3365L, 3368L, 3371L, 3374L, 3377L, 3380L, 3383L, 3386L, 3389L, 3392L, 3395L, 3398L, 3401L, 3404L, 3407L, 3410L, 3413L, 3416L, 3419L, 3422L, 3425L, 3428L, 3431L, 3434L, 3437L, 3440L, 3443L, 3446L, 3449L, 3452L, 3454L, 3456L, 3459L, 3462L, 3465L, 3468L, 3471L, 3474L, 3477L, 3480L, 3483L, 3486L, 3489L, 3492L, 3495L, 3498L, 3501L, 3504L, 3507L, 3510L, 3513L, 3516L, 3519L, 3522L, 3525L, 3528L, 3531L, 3534L, 3537L, 3540L, 3543L, 3546L, 3549L, 3552L, 3555L, 3558L, 3561L, 3564L, 3567L, 3570L, 3573L, 3576L, 3579L, 3582L, 3585L, 3588L, 3591L, 3594L, 3597L, 3600L, 3603L, 3606L, 3609L, 3612L, 3615L, 3618L, 3621L, 3624L, 3627L, 3630L, 3633L, 3636L, 3639L, 3642L, 3645L, 3648L, 3651L, 3654L, 3657L, 3660L, 3663L, 3666L, 3669L, 3672L, 3675L, 3678L, 3681L, 3684L, 3687L, 3690L, 3693L, 3696L, 3699L, 3702L, 3705L, 3708L, 3711L, 3714L, 3717L, 3720L, 3723L, 3726L, 3729L, 3732L, 3735L, 3738L, 3741L, 3744L, 3747L, 3750L, 3753L, 3756L, 3759L, 3762L, 3765L, 3768L, 3771L, 3774L, 3777L, 3780L, 3783L, 3786L, 3789L, 3792L, 3795L, 3798L, 3801L, 3804L, 3807L, 3810L, 3813L, 3816L, 3819L, 3822L, 3825L, 3828L, 3831L, 3834L, 3837L, 3840L, 3843L, 3846L, 3849L, 3852L, 3855L, 3858L, 3861L, 3864L, 3867L, 3870L, 3873L, 3876L, 3879L, 3882L, 3885L, 3888L, 3891L, 3894L, 3897L, 3900L, 3903L, 3906L, 3909L, 3912L, 3915L, 3918L, 3921L, 3924L, 3927L, 3930L, 3933L, 3936L, 3939L, 3942L, 3945L, 3948L, 3951L, 3954L, 3957L, 3960L, 3963L, 3966L, 3969L, 3972L, 3974L, 3976L, 3978L, 3980L, 3982L, 3984L, 3986L, 3989L, 3992L, 3995L, 3998L, 4001L, 4004L, 4007L, 4010L, 4013L, 4016L, 4019L, 4022L, 4025L, 4028L, 4031L, 4034L, 4037L, 4040L, 4043L, 4046L, 4049L, 4052L, 4055L, 4058L, 4061L, 4064L, 4067L, 4070L, 4073L, 4076L, 4079L, 4082L, 4085L, 4088L, 4091L, 4094L, 4097L, 4100L, 4103L, 4106L, 4109L, 4112L, 4115L, 4118L, 4121L, 4124L, 4127L, 4130L, 4133L, 4136L, 4139L, 4142L, 4145L, 4148L, 4151L, 4154L, 4157L, 4160L, 4163L, 4166L, 4169L, 4172L, 4175L, 4178L, 4181L, 4184L, 4187L, 4190L, 4193L, 4196L, 4199L, 4202L, 4205L, 4208L, 4211L, 4214L, 4217L, 4220L, 4223L, 4226L, 4229L, 4232L, 4235L, 4238L, 4241L, 4244L, 4247L, 4250L, 4253L, 4256L, 4259L, 4262L, 4265L, 4267L, 4269L, 4271L, 4273L, 4275L, 4277L, 4279L, 4281L, 4283L, 4285L, 4287L, 4289L, 4291L, 4293L, 4295L, 4297L, 4299L, 4301L, 4304L, 4307L, 4310L, 4313L, 4316L, 4319L, 4322L, 4325L, 4328L, 4331L, 4334L, 4337L, 4340L, 4343L, 4346L, 4349L, 4352L, 4355L, 4358L, 4361L, 4364L, 4367L, 4370L, 4373L, 4376L, 4379L, 4382L, 4385L, 4388L, 4391L, 4394L, 4397L, 4400L, 4403L, 4406L, 4409L, 4412L, 4415L, 4418L, 4421L, 4424L, 4427L, 4430L, 4433L, 4436L, 4439L, 4442L, 4445L, 4448L, 4451L, 4454L, 4457L, 4460L, 4463L, 4466L, 4469L, 4472L, 4475L, 4478L, 4481L, 4484L, 4487L, 4490L, 4493L, 4496L, 4499L, 4502L, 4505L, 4508L, 4511L, 4514L, 4517L, 4520L, 4523L, 4526L), Dim = c(63L, 1602L), Dimnames = list(c("1", "1", "1", "2", "2", "2", "3", "3", "3", "4", "4", "4", "5", "5", "5", "6", "6", "6", "7", "7", "7", "8", "8", "8", "9", "9", "9", "10", "10", "10", "11", "11", "11", "12", "12", "12", "13", "13", "13", "14", "14", "14", "15", "15", "15", "16", "16", "16", "17", "17", "17", "18", "18", "18", "19", "19", "19", "20", "20", "20", "21", "21", "21"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902", "903", "904", "905", "906", "907", "908", "909", "910", "911", "912", "913", "914", "915", "916", "917", "918", "919", "920", "921", "922", "923", "924", "925", "926", "927", "928", "929", "930", "931", "932", "933", "934", "935", "936", "937", "938", "939", "940", "941", "942", "943", "944", "945", "946", "947", "948", "949", "950", "951", "952", "953", "954", "955", "956", "957", "958", "959", "960", "961", "962", "963", "968", "969", "970", "971", "972", "973", "974", "975", "976", "977", "978", "979", "980", "981", "982", "983", "984", "985", "986", "987", "988", "989", "990", "991", "992", "993", "994", "995", "996", "997", "998", "999", "1000", "1001", "1002", "1003", "1004", "1005", "1006", "1007", "1008", "1009", "1010", "1011", "1012", "1013", "1014", "1015", "1016", "1017", "1018", "1019", "1020", "1021", "1022", "1023", "1024", "1025", "1026", "1027", "1028", "1029", "1030", "1031", "1032", "1033", "1034", "1035", "1036", "1037", "1038", "1039", "1040", "1041", "1042", "1047", "1048", "1049", "1050", "1051", "1052", "1053", "1054", "1055", "1056", "1057", "1058", "1059", "1060", "1061", "1062", "1063", "1064", "1065", "1066", "1067", "1068", "1069", "1070", "1071", "1072", "1073", "1074", "1075", "1076", "1077", "1078", "1079", "1080", "1081", "1082", "1083", "1084", "1085", "1086", "1087", "1088", "1089", "1090", "1091", "1092", "1093", "1094", "1095", "1096", "1097", "1098", "1099", "1100", "1101", "1102", "1103", "1104", "1105", "1106", "1107", "1108", "1109", "1110", "1111", "1112", "1113", "1114", "1115", "1116", "1117", "1122", "1123", "1124", "1125", "1126", "1127", "1128", "1129", "1130", "1131", "1132", "1133", "1134", "1135", "1136", "1137", "1138", "1139", "1140", "1141", "1142", "1143", "1144", "1145", "1146", "1147", "1148", "1149", "1150", "1151", "1152", "1153", "1154", "1155", "1156", "1157", "1158", "1159", "1160", "1161", "1162", "1163", "1164", "1165", "1166", "1167", "1168", "1169", "1170", "1171", "1172", "1173", "1174", "1175", "1176", "1177", "1178", "1179", "1180", "1181", "1182", "1183", "1184", "1185", "1186", "1187", "1188", "1189", "1190", "1191", "1192", "1193", "1194", "1195", "1196", "1197", "1198", "1199", "1200", "1201", "1202", "1203", "1204", "1205", "1206", "1207", "1208", "1209", "1210", "1211", "1212", "1217", "1218", "1219", "1220", "1221", "1222", "1223", "1224", "1225", "1226", "1227", "1228", "1229", "1230", "1231", "1232", "1233", "1234", "1235", "1236", "1237", "1238", "1239", "1240", "1241", "1242", "1243", "1244", "1245", "1246", "1247", "1248", "1249", "1250", "1251", "1252", "1253", "1254", "1255", "1256", "1257", "1258", "1259", "1260", "1261", "1262", "1263", "1264", "1265", "1266", "1267", "1268", "1269", "1270", "1271", "1272", "1273", "1274", "1275", "1276", "1277", "1278", "1279", "1280", "1281", "1282", "1283", "1284", "1285", "1286", "1287", "1288", "1289", "1290", "1291", "1292", "1293", "1294", "1295", "1300", "1301", "1302", "1303", "1304", "1305", "1306", "1307", "1308", "1309", "1310", "1311", "1312", "1313", "1314", "1315", "1316", "1317", "1318", "1319", "1320", "1321", "1322", "1323", "1324", "1325", "1326", "1327", "1328", "1329", "1330", "1331", "1332", "1333", "1334", "1335", "1336", "1337", "1338", "1339", "1340", "1341", "1342", "1343", "1344", "1345", "1346", "1347", "1348", "1349", "1350", "1351", "1352", "1353", "1358", "1359", "1360", "1361", "1362", "1363", "1364", "1365", "1366", "1367", "1368", "1369", "1370", "1371", "1372", "1373", "1374", "1375", "1376", "1377", "1378", "1379", "1380", "1381", "1382", "1383", "1384", "1385", "1386", "1387", "1388", "1389", "1390", "1391", "1392", "1393", "1394", "1395", "1396", "1397", "1398", "1399", "1400", "1401", "1402", "1403", "1404", "1405", "1406", "1407", "1412", "1413", "1414", "1415", "1416", "1417", "1418", "1419", "1420", "1421", "1422", "1423", "1424", "1425", "1426", "1427", "1428", "1429", "1430", "1431", "1432", "1433", "1434", "1435", "1436", "1437", "1438", "1439", "1440", "1441", "1442", "1443", "1444", "1445", "1446", "1447", "1448", "1449", "1450", "1451", "1452", "1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682")), x = c(1, 40, 120.2, 1, 50, 121.6, 1, 50, 122.4, 1, 50, 123, 1, 55, 124.2, 1, 60, 125, 1, 65, 125.6, 1, 70, 127.2, 1, 75, 129, 1, 75, 130.6, 1, 75, 131.2, 1, 75, 132.4, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136.6, 1, 75, 139.8, 1, 80, 142.4, 1, 85, 144.4, 1, 75, 145.8, 1, 65, 146.4, 1, 55, 145.8, 1, 40, 144.2, 1, 25, 141.2, 1, 25, 137, 1, 25, 132.2, 1, 25, 127.8, 1, 25, 123.2, 1, 25, 119.8, 1, 25, 117, 1, 25, 115.4, 1, 25, 115, 1, 25, 114.6, 1, 25, 114.4, 1, 25, 115, 1, 25, 115.2, 1, 25, 114.8, 1, 25, 114.8, 1, 25, 115.6, 1, 25, 116.6, 1, 25, 117, 1, 25, 116.2, 1, 25, 114.8, 1, 25, 113, 1, 25, 110.4, 1, 25, 108.4, 1, 25, 108.2, 1, 72, 1, 72, 1, 71.6, 1, 72, 1, 72.4, 1, 72.6, 1, 72.8, 1, 73, 1, 72.8, 1, 72.8, 1, 73.2, 1, 73.4, 1, 73, 1, 73, 1, 73.2, 1, 72.6, 1, 71.6, 1, 71, 1, 70.6, 1, 70.6, 1, 70.8, 1, 71.4, 1, 72.4, 1, 73, 1, 72.6, 1, 72.8, 1, 72.6, 1, 72.4, 1, 72.6, 1, 73.2, 1, 73.4, 1, 73.8, 1, 10, 73.8, 1, 20, 74.2, 1, 30, 75.2, 1, 40, 76.6, 1, 50, 78.8, 1, 50, 81.4, 1, 50, 83.8, 1, 50, 85.8, 1, 50, 87.8, 1, 50, 89.6, 1, 50, 90.8, 1, 50, 91.4, 1, 55, 91.6, 1, 60, 91.4, 1, 65, 91.4, 1, 70, 92, 1, 75, 93.4, 1, 75, 95.2, 1, 75, 97.4, 1, 75, 98.8, 1, 75, 100.2, 1, 75, 101.2, 1, 75, 102.4, 1, 75, 103.2, 1, 80, 104, 1, 85, 105, 1, 90, 106.2, 1, 95, 107, 1, 100, 107.8, 1, 100, 109.6, 1, 100, 111.2, 1, 100, 112.6, 1, 85, 114.2, 1, 70, 115.6, 1, 55, 116.2, 1, 40, 116, 1, 25, 114.6, 1, 25, 112, 1, 25, 108.6, 1, 25, 104, 1, 25, 100.2, 1, 25, 96.8, 1, 25, 92.2, 1, 25, 88.8, 1, 25, 86.6, 1, 25, 84.2, 1, 25, 82.4, 1, 25, 82.6, 1, 25, 82.4, 1, 25, 81.8, 1, 25, 81.2, 1, 25, 80.2, 1, 25, 79.6, 1, 25, 79.6, 1, 25, 80, 1, 25, 80.6, 1, 25, 81.2, 1, 25, 81.4, 1, 25, 81.6, 1, 25, 81.6, 1, 25, 81.2, 1, 25, 81.2, 1, 25, 81.4, 1, 25, 81.8, 1, 104, 1, 104.4, 1, 101.8, 1, 104, 1, 105.6, 1, 105.6, 1, 104.2, 1, 105.2, 1, 104.8, 1, 103.2, 1, 104, 1, 104.6, 1, 103.4, 1, 103.2, 1, 102.2, 1, 100.2, 1, 99, 1, 98.8, 1, 97.2, 1, 98.8, 1, 101, 1, 100, 1, 100.4, 1, 102.4, 1, 104.6, 1, 104.8, 1, 107, 1, 108.2, 1, 109.4, 1, 106.8, 1, 106, 1, 105, 1, 102.2, 1, 101.6, 1, 100.8, 1, 100.8, 1, 103.6, 1, 107.2, 1, 107, 1, 102.4, 1, 102.6, 1, 99.8, 1, 98.2, 1, 96.8, 1, 102.4, 1, 102.2, 1, 102.8, 1, 102.8, 1, 106, 1, 107.8, 1, 109.4, 1, 110.4, 1, 109.4, 1, 107, 1, 105, 1, 102.8, 1, 100.8, 1, 101, 1, 100.6, 1, 100.6, 1, 101.6, 1, 102.6, 1, 103, 1, 102.8, 1, 104, 1, 104.6, 1, 103.8, 1, 103, 1, 104, 1, 102.6, 1, 101.6, 1, 103.8, 1, 103.4, 1, 102.4, 1, 102.2, 1, 100, 1, 99, 1, 99.8, 1, 99.4, 1, 99.2, 1, 101.8, 1, 100.4, 1, 99.4, 1, 98.2, 1, 99.2, 1, 98.8, 1, 99.4, 1, 101.4, 1, 102.6, 1, 101.2, 1, 99.6, 1, 99.8, 1, 99.2, 1, 100, 1, 100.6, 1, 97, 1, 95.8, 1, 94.8, 1, 93.4, 1, 93.4, 1, 100.2, 1, 100.4, 1, 97.6, 1, 97.8, 1, 99.6, 1, 97, 1, 98.4, 1, 101.8, 1, 104.6, 1, 102.2, 1, 101.4, 1, 101, 1, 101.4, 1, 98.4, 1, 100.4, 1, 101.2, 1, 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130.2, 1, 150, 132.2, 1, 150, 134.6, 1, 150, 137.6, 1, 150, 140, 1, 150, 142, 1, 150, 144.6, 1, 155, 146.8, 1, 160, 149, 1, 165, 150.8, 1, 170, 153, 1, 175, 155, 1, 175, 157.4, 1, 175, 159.4, 1, 175, 161.4, 1, 175, 163.2, 1, 175, 164.8, 1, 175, 166, 1, 145, 167, 1, 115, 167.4, 1, 85, 166.2, 1, 55, 163.8, 1, 25, 160.4, 1, 25, 155.8, 1, 25, 151, 1, 25, 146.6, 1, 25, 142.4, 1, 25, 139.2, 1, 25, 136.6, 1, 25, 134, 1, 25, 131.6, 1, 25, 128.8, 1, 25, 125.8, 1, 25, 122.8, 1, 25, 119.8, 1, 25, 116.6, 1, 25, 115.6, 1, 25, 112.6, 1, 25, 110.2, 1, 25, 108.8, 1, 25, 107, 1, 25, 103.8, 1, 25, 102, 1, 25, 98, 1, 25, 90.2, 1, 25, 84.6, 1, 25, 77.8, 1, 25, 70.4, 1, 25, 70.2, 1, 79.6, 1, 78.8, 1, 10, 79.2, 1, 20, 81.2, 1, 30, 83.4, 1, 40, 85.2, 1, 50, 87.8, 1, 50, 91, 1, 50, 92.8, 1, 50, 94.8, 1, 50, 96.2, 1, 50, 97.6, 1, 50, 97.6, 1, 50, 97.2, 1, 55, 97.2, 1, 60, 98, 1, 65, 99, 1, 70, 100.4, 1, 75, 101.4, 1, 75, 102.2, 1, 75, 102.4, 1, 75, 102.2, 1, 75, 102.6, 1, 75, 104, 1, 75, 105.2, 1, 75, 107.2, 1, 80, 109.2, 1, 85, 111, 1, 90, 112, 1, 95, 113.6, 1, 100, 116.6, 1, 85, 117.2, 1, 70, 115, 1, 55, 112.6, 1, 40, 107.6, 1, 25, 101.2, 1, 25, 94.8, 1, 25, 90.2, 1, 25, 86.4, 1, 25, 85.2, 1, 25, 82, 1, 25, 83.2, 1, 25, 84.4, 1, 25, 82.4, 1, 25, 80.6, 1, 25, 79.2, 1, 25, 77.6, 1, 25, 76.8, 1, 25, 76.4, 1, 25, 75.8, 1, 25, 76.8, 1, 25, 77, 1, 25, 77.4, 1, 25, 79.6, 1, 20, 63.2, 1, 30, 66.6, 1, 40, 70.2, 1, 50, 76, 1, 50, 80.6, 1, 50, 85.6, 1, 50, 86.8, 1, 50, 88.2, 1, 50, 88.6, 1, 50, 90.4, 1, 50, 91.4, 1, 55, 93.8, 1, 60, 95, 1, 65, 96.6, 1, 70, 98, 1, 75, 100, 1, 75, 100.8, 1, 75, 102.6, 1, 75, 104, 1, 75, 104.4, 1, 75, 105, 1, 75, 105.8, 1, 75, 105.8, 1, 80, 105.8, 1, 85, 106.2, 1, 90, 106.6, 1, 95, 107.8, 1, 100, 109, 1, 100, 110.4, 1, 100, 112, 1, 100, 113.6, 1, 100, 115.2, 1, 85, 117.2, 1, 70, 116.8, 1, 55, 114.4, 1, 40, 111, 1, 25, 106.8, 1, 25, 100.4, 1, 25, 96, 1, 25, 93, 1, 25, 90.8, 1, 25, 87.4, 1, 25, 85, 1, 25, 82.2, 1, 25, 79.2, 1, 25, 75.8, 1, 25, 74, 1, 25, 73, 1, 25, 71.8, 1, 25, 71, 1, 20, 87.2, 1, 30, 89.6, 1, 40, 92, 1, 50, 96, 1, 50, 99.8, 1, 50, 101.8, 1, 50, 104.2, 1, 50, 106.6, 1, 50, 108, 1, 50, 108.6, 1, 55, 108.8, 1, 60, 108.8, 1, 65, 108.6, 1, 70, 109.4, 1, 75, 110.4, 1, 75, 111.2, 1, 75, 112.6, 1, 75, 114.6, 1, 75, 115.8, 1, 75, 117, 1, 75, 117.8, 1, 75, 118.6, 1, 80, 119.4, 1, 85, 119.8, 1, 90, 120.8, 1, 95, 122.2, 1, 100, 123.4, 1, 100, 124.6, 1, 100, 125.8, 1, 100, 126.8, 1, 100, 128.6, 1, 100, 130.4, 1, 100, 131.4, 1, 100, 126.2, 1, 105, 127.6, 1, 110, 128.6, 1, 115, 129, 1, 120, 129.8, 1, 125, 137, 1, 125, 137.6, 1, 125, 138.2, 1, 125, 139.8, 1, 125, 141.6, 1, 125, 143.6, 1, 125, 145.6, 1, 125, 147.6, 1, 130, 148.8, 1, 135, 150, 1, 140, 150.8, 1, 145, 151.6, 1, 150, 152.2, 1, 150, 153.6, 1, 150, 154.8, 1, 125, 156.2, 1, 100, 157.6, 1, 75, 158.4, 1, 50, 158.2, 1, 25, 157, 1, 25, 154.4, 1, 25, 151, 1, 25, 147.2, 1, 25, 142.2, 1, 25, 137.8, 1, 25, 133.4, 1, 25, 129.2, 1, 25, 125.4, 1, 20, 122.8, 1, 15, 119.2, 1, 10, 116, 1, 5, 113.4, 1, 110.6, 1, 108.2, 1, 105.6, 1, 103.8, 1, 101.8, 1, 99.8, 1, 97.8, 1, 30, 90.8, 1, 40, 92.2, 1, 50, 94.2, 1, 50, 96.4, 1, 50, 98.4, 1, 50, 99.2, 1, 50, 100.2, 1, 50, 101, 1, 50, 100.8, 1, 50, 101.8, 1, 55, 102.8, 1, 60, 103.4, 1, 65, 104.4, 1, 70, 106.2, 1, 75, 106.8, 1, 75, 107.2, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.8, 1, 75, 108.4, 1, 75, 109.2, 1, 80, 109.8, 1, 85, 111.2, 1, 90, 112.6, 1, 95, 113.4, 1, 100, 114, 1, 100, 114.6, 1, 100, 114.4, 1, 100, 113.8, 1, 100, 114, 1, 100, 114, 1, 100, 114.4, 1, 100, 115.2, 1, 105, 116, 1, 110, 116.6, 1, 115, 117.6, 1, 120, 118.4, 1, 125, 118.8, 1, 125, 119.2, 1, 125, 119.6, 1, 125, 119.6, 1, 125, 119.4, 1, 125, 119.4, 1, 125, 119.8, 1, 125, 120, 1, 131, 120.4, 1, 137, 121, 1, 143, 121.2, 1, 149, 121.4, 1, 155, 121.6, 1, 155, 122, 1, 155, 122.2, 1, 155, 122.8, 1, 155, 123.2, 1, 155, 123.4, 1, 155, 123.8, 1, 155, 124.2, 1, 161, 124.6, 1, 167, 125.2, 1, 173, 126.2, 1, 179, 126.8, 1, 185, 127.4, 1, 185, 128, 1, 185, 128.6, 1, 185, 129.2, 1, 185, 130.2, 1, 185, 131.4, 1, 185, 132.2, 1, 153, 133, 1, 121, 133.4, 1, 89, 132.8, 1, 57, 131.8, 1, 25, 130.4, 1, 25, 128.2, 1, 25, 125.8, 1, 25, 123.8, 1, 25, 121.8, 1, 25, 120, 1, 25, 119, 1, 25, 118, 1, 25, 117, 1, 25, 115.8, 1, 25, 114.8, 1, 25, 113.4, 1, 25, 112.2, 1, 25, 111.2, 1, 25, 110.4, 1, 25, 110, 1, 20, 109.6, 1, 15, 109.4, 1, 10, 109.2, 1, 5, 109, 1, 108.4, 1, 107.8, 1, 107, 1, 106.2, 1, 105.4, 1, 104.6, 1, 104.4, 1, 104.2, 1, 104, 1, 103.6, 1, 102.4, 1, 102.6, 1, 102.8, 1, 102.8, 1, 103.2, 1, 104.6, 1, 105.8, 1, 106.4, 1, 10, 87.6, 1, 20, 88.2, 1, 30, 90.2, 1, 40, 93.6, 1, 50, 96.6, 1, 50, 101.6, 1, 50, 106.2, 1, 50, 108.8, 1, 50, 111.4, 1, 50, 113.2, 1, 50, 113.8, 1, 55, 115.4, 1, 60, 117.2, 1, 65, 119.2, 1, 70, 122.6, 1, 75, 126, 1, 75, 128.8, 1, 75, 131.6, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136, 1, 75, 137.2, 1, 75, 137.8, 1, 80, 138.4, 1, 85, 140, 1, 90, 141.8, 1, 95, 142.8, 1, 100, 145.2, 1, 97, 147, 1, 94, 147.6, 1, 91, 148.8, 1, 88, 150.6, 1, 85, 151.2, 1, 85, 153.2, 1, 85, 155.2, 1, 90, 156.4, 1, 78, 157.8, 1, 66, 159.8, 1, 54, 160.6, 1, 42, 159.4, 1, 25, 156.8, 1, 25, 152.4, 1, 25, 147.4, 1, 25, 143, 1, 25, 139.2, 1, 25, 136.4, 1, 25, 134.8, 1, 25, 133.8, 1, 25, 132.8, 1, 25, 132.6, 1, 25, 132.8, 1, 25, 131.6, 1, 25, 130.2, 1, 25, 129, 1, 25, 128.2, 1, 25, 126.4, 1, 25, 125.8, 1, 25, 126.2, 1, 25, 124.6, 1, 25, 123.2, 1, 25, 122.2, 1, 25, 122.2, 1, 25, 121.4, 1, 25, 122.2, 1, 25, 123.6, 1, 25, 124.6, 1, 25, 124.4, 1, 25, 123.2, 1, 25, 122.4, 1, 25, 120.6, 1, 25, 119, 1, 25, 119, 1, 25, 119.4, 1, 25, 119.2, 1, 25, 119.4), factors = list()), theta = c(1, 0, 0, 1, 0, 1), Lind = c(1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L), Gp = c(0L, 63L), lower = c(0, -Inf, -Inf, 0, -Inf, 0 ), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 8L, 9L, 9L, 10L, 9L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 14L, 15L, 15L, 16L, 15L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 20L, 21L, 21L, 22L, 21L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 26L, 27L, 27L, 28L, 27L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 32L, 33L, 33L, 34L, 33L, 34L, 35L, 36L, 36L, 37L, 36L, 37L, 38L, 39L, 39L, 40L, 39L, 40L, 41L, 42L, 42L, 43L, 42L, 43L, 44L, 45L, 45L, 46L, 45L, 46L, 47L, 48L, 48L, 49L, 48L, 49L, 50L, 51L, 51L, 52L, 51L, 52L, 53L, 54L, 54L, 55L, 54L, 55L, 56L, 57L, 57L, 58L, 57L, 58L, 59L, 60L, 60L, 61L, 60L, 61L, 62L), p = c(0L, 1L, 3L, 6L, 7L, 9L, 12L, 13L, 15L, 18L, 19L, 21L, 24L, 25L, 27L, 30L, 31L, 33L, 36L, 37L, 39L, 42L, 43L, 45L, 48L, 49L, 51L, 54L, 55L, 57L, 60L, 61L, 63L, 66L, 67L, 69L, 72L, 73L, 75L, 78L, 79L, 81L, 84L, 85L, 87L, 90L, 91L, 93L, 96L, 97L, 99L, 102L, 103L, 105L, 108L, 109L, 111L, 114L, 115L, 117L, 120L, 121L, 123L, 126L), Dim = c(63L, 63L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1), factors = list()), flist = list(id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L)), cnms = list(id = c("(Intercept)", "input1_rollmean", "signal_rollmean")), Ztlist = list(`1 + input1_rollmean + signal_rollmean | id` = new("dgCMatrix", i = c(0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 9L, 11L, 12L, 14L, 12L, 14L, 12L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 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54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 205L, 208L, 211L, 214L, 217L, 220L, 223L, 226L, 229L, 232L, 235L, 238L, 241L, 244L, 247L, 250L, 253L, 256L, 259L, 262L, 265L, 268L, 271L, 274L, 277L, 280L, 283L, 286L, 289L, 292L, 295L, 298L, 301L, 304L, 307L, 310L, 313L, 316L, 319L, 322L, 325L, 328L, 331L, 334L, 337L, 340L, 343L, 346L, 349L, 352L, 355L, 358L, 361L, 364L, 367L, 370L, 373L, 376L, 379L, 382L, 385L, 388L, 391L, 394L, 396L, 398L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 420L, 422L, 424L, 426L, 428L, 430L, 432L, 434L, 436L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 458L, 460L, 462L, 464L, 466L, 468L, 470L, 472L, 474L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 496L, 498L, 500L, 502L, 504L, 506L, 508L, 510L, 512L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 534L, 536L, 538L, 540L, 542L, 544L, 546L, 548L, 550L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 572L, 574L, 576L, 578L, 580L, 582L, 584L, 586L, 588L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 610L, 612L, 614L, 616L, 618L, 620L, 622L, 624L, 626L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 648L, 650L, 653L, 656L, 659L, 662L, 665L, 668L, 671L, 674L, 677L, 680L, 683L, 686L, 689L, 692L, 695L, 698L, 701L, 704L, 707L, 710L, 713L, 716L, 719L, 722L, 725L, 728L, 731L, 734L, 737L, 740L, 743L, 746L, 749L, 752L, 755L, 758L, 761L, 764L, 767L, 770L, 773L, 776L, 779L, 782L, 785L, 788L, 791L, 794L, 797L, 800L, 803L, 806L, 809L, 812L, 815L, 818L, 821L, 824L, 827L, 830L, 833L, 836L, 839L, 842L, 845L, 848L, 851L, 854L, 857L, 860L, 863L, 866L, 869L, 872L, 875L, 878L, 881L, 884L, 887L, 890L, 893L, 896L, 899L, 902L, 905L, 908L, 911L, 914L, 917L, 920L, 923L, 926L, 929L, 932L, 935L, 938L, 941L, 944L, 947L, 950L, 953L, 956L, 959L, 962L, 965L, 968L, 971L, 974L, 977L, 980L, 983L, 986L, 989L, 992L, 995L, 998L, 1001L, 1004L, 1007L, 1010L, 1013L, 1016L, 1019L, 1022L, 1025L, 1028L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1047L, 1049L, 1051L, 1053L, 1055L, 1057L, 1059L, 1061L, 1063L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1085L, 1087L, 1089L, 1091L, 1093L, 1096L, 1099L, 1102L, 1105L, 1108L, 1111L, 1114L, 1117L, 1120L, 1123L, 1126L, 1129L, 1132L, 1135L, 1138L, 1141L, 1144L, 1147L, 1150L, 1153L, 1156L, 1159L, 1162L, 1165L, 1168L, 1171L, 1174L, 1177L, 1180L, 1183L, 1186L, 1189L, 1192L, 1195L, 1198L, 1201L, 1204L, 1207L, 1210L, 1213L, 1216L, 1219L, 1222L, 1225L, 1228L, 1231L, 1234L, 1237L, 1240L, 1243L, 1245L, 1248L, 1251L, 1254L, 1257L, 1260L, 1263L, 1266L, 1269L, 1272L, 1275L, 1278L, 1281L, 1284L, 1287L, 1290L, 1293L, 1296L, 1299L, 1302L, 1305L, 1308L, 1311L, 1314L, 1317L, 1320L, 1323L, 1326L, 1329L, 1332L, 1335L, 1338L, 1341L, 1344L, 1347L, 1350L, 1353L, 1356L, 1359L, 1362L, 1365L, 1368L, 1371L, 1374L, 1377L, 1380L, 1383L, 1386L, 1389L, 1392L, 1395L, 1398L, 1401L, 1404L, 1407L, 1410L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1426L, 1429L, 1432L, 1435L, 1438L, 1441L, 1444L, 1447L, 1450L, 1453L, 1456L, 1459L, 1462L, 1465L, 1468L, 1471L, 1474L, 1477L, 1480L, 1483L, 1486L, 1489L, 1492L, 1495L, 1498L, 1501L, 1504L, 1507L, 1510L, 1513L, 1516L, 1519L, 1522L, 1525L, 1528L, 1531L, 1534L, 1537L, 1540L, 1543L, 1546L, 1549L, 1552L, 1555L, 1558L, 1561L, 1564L, 1567L, 1570L, 1573L, 1576L, 1579L, 1582L, 1585L, 1588L, 1591L, 1594L, 1597L, 1600L, 1603L, 1606L, 1609L, 1612L, 1615L, 1618L, 1621L, 1624L, 1627L, 1630L, 1633L, 1636L, 1639L, 1642L, 1645L, 1648L, 1651L, 1654L, 1657L, 1660L, 1663L, 1665L, 1667L, 1669L, 1672L, 1675L, 1678L, 1681L, 1684L, 1687L, 1690L, 1693L, 1696L, 1699L, 1702L, 1705L, 1708L, 1711L, 1714L, 1717L, 1720L, 1723L, 1726L, 1729L, 1732L, 1735L, 1738L, 1741L, 1744L, 1747L, 1750L, 1753L, 1756L, 1759L, 1762L, 1765L, 1768L, 1771L, 1774L, 1777L, 1780L, 1783L, 1786L, 1789L, 1792L, 1795L, 1798L, 1801L, 1804L, 1807L, 1810L, 1813L, 1816L, 1819L, 1822L, 1825L, 1828L, 1831L, 1834L, 1837L, 1840L, 1843L, 1846L, 1849L, 1852L, 1855L, 1858L, 1861L, 1864L, 1867L, 1870L, 1873L, 1876L, 1879L, 1882L, 1885L, 1888L, 1891L, 1894L, 1896L, 1898L, 1900L, 1903L, 1906L, 1909L, 1912L, 1915L, 1918L, 1921L, 1924L, 1927L, 1930L, 1933L, 1936L, 1939L, 1942L, 1945L, 1948L, 1951L, 1954L, 1957L, 1960L, 1963L, 1966L, 1969L, 1972L, 1975L, 1978L, 1981L, 1984L, 1987L, 1990L, 1993L, 1996L, 1999L, 2002L, 2005L, 2008L, 2011L, 2014L, 2017L, 2020L, 2023L, 2026L, 2029L, 2032L, 2035L, 2038L, 2041L, 2044L, 2047L, 2050L, 2053L, 2056L, 2059L, 2062L, 2065L, 2067L, 2069L, 2071L, 2074L, 2077L, 2080L, 2083L, 2086L, 2089L, 2092L, 2095L, 2098L, 2101L, 2104L, 2107L, 2110L, 2113L, 2116L, 2119L, 2122L, 2125L, 2128L, 2131L, 2134L, 2137L, 2140L, 2143L, 2146L, 2149L, 2152L, 2155L, 2158L, 2161L, 2164L, 2167L, 2170L, 2173L, 2176L, 2178L, 2180L, 2182L, 2184L, 2186L, 2188L, 2190L, 2192L, 2194L, 2196L, 2198L, 2200L, 2202L, 2204L, 2206L, 2208L, 2210L, 2212L, 2214L, 2216L, 2218L, 2220L, 2222L, 2224L, 2227L, 2230L, 2233L, 2236L, 2239L, 2242L, 2245L, 2248L, 2251L, 2254L, 2257L, 2260L, 2263L, 2266L, 2269L, 2272L, 2275L, 2278L, 2281L, 2284L, 2287L, 2290L, 2293L, 2296L, 2299L, 2302L, 2305L, 2308L, 2311L, 2314L, 2317L, 2320L, 2323L, 2326L, 2329L, 2332L, 2335L, 2338L, 2341L, 2344L, 2347L, 2350L, 2353L, 2356L, 2359L, 2362L, 2365L, 2368L, 2371L, 2374L, 2377L, 2380L, 2383L, 2386L, 2389L, 2392L, 2395L, 2398L, 2401L, 2404L, 2407L, 2410L, 2413L, 2416L, 2419L, 2422L, 2425L, 2428L, 2431L, 2434L, 2437L, 2440L, 2443L, 2446L, 2449L, 2452L, 2455L, 2458L, 2461L, 2464L, 2467L, 2470L, 2473L, 2476L, 2479L, 2482L, 2485L, 2488L, 2491L, 2494L, 2497L, 2500L, 2503L, 2506L, 2509L, 2512L, 2515L, 2518L, 2521L, 2524L, 2527L, 2530L, 2533L, 2536L, 2539L, 2542L, 2545L, 2548L, 2551L, 2554L, 2557L, 2560L, 2563L, 2566L, 2569L, 2572L, 2575L, 2578L, 2581L, 2584L, 2587L, 2590L, 2593L, 2596L, 2599L, 2602L, 2605L, 2608L, 2611L, 2614L, 2617L, 2620L, 2623L, 2626L, 2629L, 2632L, 2635L, 2638L, 2641L, 2644L, 2647L, 2650L, 2653L, 2656L, 2659L, 2662L, 2665L, 2668L, 2671L, 2674L, 2677L, 2680L, 2683L, 2686L, 2689L, 2692L, 2695L, 2698L, 2701L, 2704L, 2707L, 2710L, 2713L, 2716L, 2719L, 2722L, 2725L, 2728L, 2731L, 2734L, 2737L, 2740L, 2743L, 2746L, 2749L, 2752L, 2755L, 2758L, 2761L, 2764L, 2767L, 2770L, 2773L, 2776L, 2779L, 2782L, 2785L, 2788L, 2791L, 2794L, 2797L, 2800L, 2803L, 2806L, 2809L, 2812L, 2815L, 2818L, 2821L, 2824L, 2827L, 2830L, 2833L, 2836L, 2839L, 2842L, 2845L, 2848L, 2851L, 2854L, 2857L, 2860L, 2863L, 2866L, 2869L, 2872L, 2875L, 2878L, 2881L, 2884L, 2887L, 2890L, 2893L, 2896L, 2899L, 2902L, 2905L, 2908L, 2911L, 2914L, 2917L, 2920L, 2923L, 2926L, 2929L, 2932L, 2935L, 2938L, 2941L, 2944L, 2947L, 2950L, 2953L, 2956L, 2959L, 2962L, 2965L, 2967L, 2969L, 2971L, 2973L, 2975L, 2977L, 2979L, 2981L, 2983L, 2985L, 2987L, 2989L, 2991L, 2993L, 2995L, 2997L, 2999L, 3001L, 3003L, 3005L, 3007L, 3009L, 3011L, 3014L, 3017L, 3020L, 3023L, 3026L, 3029L, 3032L, 3035L, 3038L, 3041L, 3044L, 3047L, 3050L, 3053L, 3056L, 3059L, 3062L, 3065L, 3068L, 3071L, 3074L, 3077L, 3080L, 3083L, 3086L, 3089L, 3092L, 3095L, 3098L, 3101L, 3104L, 3107L, 3110L, 3113L, 3116L, 3119L, 3122L, 3125L, 3128L, 3131L, 3134L, 3137L, 3140L, 3143L, 3146L, 3149L, 3152L, 3155L, 3158L, 3161L, 3164L, 3167L, 3170L, 3173L, 3176L, 3179L, 3182L, 3185L, 3188L, 3191L, 3194L, 3197L, 3200L, 3203L, 3206L, 3209L, 3212L, 3215L, 3218L, 3221L, 3224L, 3227L, 3230L, 3233L, 3236L, 3239L, 3242L, 3245L, 3248L, 3251L, 3254L, 3257L, 3260L, 3263L, 3266L, 3269L, 3272L, 3275L, 3278L, 3281L, 3284L, 3287L, 3290L, 3293L, 3296L, 3299L, 3302L, 3305L, 3308L, 3311L, 3314L, 3317L, 3320L, 3323L, 3326L, 3329L, 3332L, 3335L, 3338L, 3341L, 3344L, 3347L, 3350L, 3353L, 3356L, 3359L, 3362L, 3365L, 3368L, 3371L, 3374L, 3377L, 3380L, 3383L, 3386L, 3389L, 3392L, 3395L, 3398L, 3401L, 3404L, 3407L, 3410L, 3413L, 3416L, 3419L, 3422L, 3425L, 3428L, 3431L, 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"1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682")), x = c(1, 40, 120.2, 1, 50, 121.6, 1, 50, 122.4, 1, 50, 123, 1, 55, 124.2, 1, 60, 125, 1, 65, 125.6, 1, 70, 127.2, 1, 75, 129, 1, 75, 130.6, 1, 75, 131.2, 1, 75, 132.4, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136.6, 1, 75, 139.8, 1, 80, 142.4, 1, 85, 144.4, 1, 75, 145.8, 1, 65, 146.4, 1, 55, 145.8, 1, 40, 144.2, 1, 25, 141.2, 1, 25, 137, 1, 25, 132.2, 1, 25, 127.8, 1, 25, 123.2, 1, 25, 119.8, 1, 25, 117, 1, 25, 115.4, 1, 25, 115, 1, 25, 114.6, 1, 25, 114.4, 1, 25, 115, 1, 25, 115.2, 1, 25, 114.8, 1, 25, 114.8, 1, 25, 115.6, 1, 25, 116.6, 1, 25, 117, 1, 25, 116.2, 1, 25, 114.8, 1, 25, 113, 1, 25, 110.4, 1, 25, 108.4, 1, 25, 108.2, 1, 72, 1, 72, 1, 71.6, 1, 72, 1, 72.4, 1, 72.6, 1, 72.8, 1, 73, 1, 72.8, 1, 72.8, 1, 73.2, 1, 73.4, 1, 73, 1, 73, 1, 73.2, 1, 72.6, 1, 71.6, 1, 71, 1, 70.6, 1, 70.6, 1, 70.8, 1, 71.4, 1, 72.4, 1, 73, 1, 72.6, 1, 72.8, 1, 72.6, 1, 72.4, 1, 72.6, 1, 73.2, 1, 73.4, 1, 73.8, 1, 10, 73.8, 1, 20, 74.2, 1, 30, 75.2, 1, 40, 76.6, 1, 50, 78.8, 1, 50, 81.4, 1, 50, 83.8, 1, 50, 85.8, 1, 50, 87.8, 1, 50, 89.6, 1, 50, 90.8, 1, 50, 91.4, 1, 55, 91.6, 1, 60, 91.4, 1, 65, 91.4, 1, 70, 92, 1, 75, 93.4, 1, 75, 95.2, 1, 75, 97.4, 1, 75, 98.8, 1, 75, 100.2, 1, 75, 101.2, 1, 75, 102.4, 1, 75, 103.2, 1, 80, 104, 1, 85, 105, 1, 90, 106.2, 1, 95, 107, 1, 100, 107.8, 1, 100, 109.6, 1, 100, 111.2, 1, 100, 112.6, 1, 85, 114.2, 1, 70, 115.6, 1, 55, 116.2, 1, 40, 116, 1, 25, 114.6, 1, 25, 112, 1, 25, 108.6, 1, 25, 104, 1, 25, 100.2, 1, 25, 96.8, 1, 25, 92.2, 1, 25, 88.8, 1, 25, 86.6, 1, 25, 84.2, 1, 25, 82.4, 1, 25, 82.6, 1, 25, 82.4, 1, 25, 81.8, 1, 25, 81.2, 1, 25, 80.2, 1, 25, 79.6, 1, 25, 79.6, 1, 25, 80, 1, 25, 80.6, 1, 25, 81.2, 1, 25, 81.4, 1, 25, 81.6, 1, 25, 81.6, 1, 25, 81.2, 1, 25, 81.2, 1, 25, 81.4, 1, 25, 81.8, 1, 104, 1, 104.4, 1, 101.8, 1, 104, 1, 105.6, 1, 105.6, 1, 104.2, 1, 105.2, 1, 104.8, 1, 103.2, 1, 104, 1, 104.6, 1, 103.4, 1, 103.2, 1, 102.2, 1, 100.2, 1, 99, 1, 98.8, 1, 97.2, 1, 98.8, 1, 101, 1, 100, 1, 100.4, 1, 102.4, 1, 104.6, 1, 104.8, 1, 107, 1, 108.2, 1, 109.4, 1, 106.8, 1, 106, 1, 105, 1, 102.2, 1, 101.6, 1, 100.8, 1, 100.8, 1, 103.6, 1, 107.2, 1, 107, 1, 102.4, 1, 102.6, 1, 99.8, 1, 98.2, 1, 96.8, 1, 102.4, 1, 102.2, 1, 102.8, 1, 102.8, 1, 106, 1, 107.8, 1, 109.4, 1, 110.4, 1, 109.4, 1, 107, 1, 105, 1, 102.8, 1, 100.8, 1, 101, 1, 100.6, 1, 100.6, 1, 101.6, 1, 102.6, 1, 103, 1, 102.8, 1, 104, 1, 104.6, 1, 103.8, 1, 103, 1, 104, 1, 102.6, 1, 101.6, 1, 103.8, 1, 103.4, 1, 102.4, 1, 102.2, 1, 100, 1, 99, 1, 99.8, 1, 99.4, 1, 99.2, 1, 101.8, 1, 100.4, 1, 99.4, 1, 98.2, 1, 99.2, 1, 98.8, 1, 99.4, 1, 101.4, 1, 102.6, 1, 101.2, 1, 99.6, 1, 99.8, 1, 99.2, 1, 100, 1, 100.6, 1, 97, 1, 95.8, 1, 94.8, 1, 93.4, 1, 93.4, 1, 100.2, 1, 100.4, 1, 97.6, 1, 97.8, 1, 99.6, 1, 97, 1, 98.4, 1, 101.8, 1, 104.6, 1, 102.2, 1, 101.4, 1, 101, 1, 101.4, 1, 98.4, 1, 100.4, 1, 101.2, 1, 101.4, 1, 100.8, 1, 101.8, 1, 100, 1, 100.4, 1, 101, 1, 101.8, 1, 104.2, 1, 105.4, 1, 108.2, 1, 107.8, 1, 107.6, 1, 10, 105.4, 1, 20, 108, 1, 30, 110.6, 1, 40, 114.8, 1, 50, 118.2, 1, 50, 122.2, 1, 50, 122.2, 1, 50, 121.8, 1, 50, 122.4, 1, 55, 124.2, 1, 60, 125.2, 1, 65, 125, 1, 70, 125.6, 1, 75, 125.8, 1, 75, 126.8, 1, 75, 130.2, 1, 75, 135.6, 1, 75, 139.2, 1, 75, 143.6, 1, 75, 147, 1, 75, 147.8, 1, 80, 149, 1, 85, 148.8, 1, 90, 148.8, 1, 95, 149.8, 1, 100, 152.6, 1, 100, 155.2, 1, 100, 158, 1, 100, 160, 1, 100, 161.6, 1, 100, 162, 1, 100, 162.4, 1, 100, 163.4, 1, 105, 164, 1, 110, 164.6, 1, 115, 165.2, 1, 120, 165.6, 1, 125, 165.2, 1, 125, 165.6, 1, 125, 166, 1, 125, 166.8, 1, 125, 167.8, 1, 125, 169.4, 1, 125, 170.4, 1, 125, 171.2, 1, 105, 171.6, 1, 85, 172, 1, 65, 171, 1, 45, 169, 1, 25, 166.8, 1, 25, 164.4, 1, 25, 160.6, 1, 25, 157.6, 1, 25, 155.2, 1, 25, 152.4, 1, 25, 149, 1, 25, 147.4, 1, 25, 145.2, 1, 25, 143.8, 1, 25, 141.2, 1, 25, 140, 1, 25, 138.4, 1, 25, 137.8, 1, 25, 135.8, 1, 25, 135.6, 1, 25, 134.6, 1, 25, 133.2, 1, 25, 131.4, 1, 25, 131.8, 1, 25, 131.8, 1, 25, 130.2, 1, 25, 130, 1, 25, 129.2, 1, 10, 75.6, 1, 20, 76.6, 1, 30, 79, 1, 40, 82.4, 1, 50, 85, 1, 50, 87.8, 1, 50, 89.4, 1, 50, 91.2, 1, 50, 92.6, 1, 50, 93.8, 1, 50, 94.8, 1, 50, 95.8, 1, 55, 96.6, 1, 60, 97.8, 1, 65, 99, 1, 70, 100.4, 1, 75, 101.6, 1, 75, 103, 1, 75, 104.2, 1, 75, 105.2, 1, 75, 105.8, 1, 75, 106.6, 1, 75, 107.4, 1, 80, 108, 1, 85, 108.8, 1, 90, 110, 1, 95, 111, 1, 100, 111.8, 1, 100, 112.6, 1, 100, 113.4, 1, 100, 114.2, 1, 100, 115.2, 1, 100, 116.4, 1, 100, 117.8, 1, 100, 119.4, 1, 85, 121.4, 1, 70, 123, 1, 55, 124, 1, 40, 125, 1, 25, 125.8, 1, 25, 125.8, 1, 25, 125.6, 1, 25, 121.2, 1, 25, 121.8, 1, 25, 120.4, 1, 25, 113.4, 1, 25, 111.8, 1, 25, 114.4, 1, 25, 111.8, 1, 25, 107.2, 1, 20, 111.6, 1, 15, 110.4, 1, 10, 108.6, 1, 5, 106.8, 1, 108.8, 1, 107.6, 1, 106.8, 1, 106.6, 1, 106.2, 1, 105.8, 1, 105.4, 1, 104.8, 1, 104.4, 1, 106.4, 1, 105.8, 1, 105.4, 1, 105, 1, 104.6, 1, 101.8, 1, 101.6, 1, 101.2, 1, 101.2, 1, 101, 1, 100.8, 1, 100.8, 1, 100.6, 1, 100.4, 1, 100.8, 1, 101, 1, 101, 1, 101.2, 1, 100.8, 1, 60.4, 1, 60.4, 1, 59.4, 1, 10, 60.2, 1, 15, 58.8, 1, 20, 60.2, 1, 25, 62.6, 1, 30, 65.6, 1, 25, 67.8, 1, 25, 70, 1, 25, 71.8, 1, 25, 73.2, 1, 25, 75.6, 1, 25, 77, 1, 25, 77.8, 1, 30, 79.2, 1, 35, 80.4, 1, 40, 80.6, 1, 45, 83.6, 1, 50, 86, 1, 50, 86.6, 1, 50, 87.6, 1, 50, 89.8, 1, 50, 90.6, 1, 50, 92, 1, 50, 95, 1, 50, 97.2, 1, 55, 98, 1, 60, 98.8, 1, 65, 100.6, 1, 60, 102, 1, 55, 102.6, 1, 45, 101.6, 1, 35, 100.2, 1, 25, 97.6, 1, 25, 95, 1, 25, 92.2, 1, 25, 89.4, 1, 25, 86.2, 1, 25, 83.6, 1, 25, 80.6, 1, 25, 78.2, 1, 25, 76.6, 1, 25, 75.2, 1, 25, 73.6, 1, 25, 72.2, 1, 25, 71, 1, 25, 70, 1, 25, 69.2, 1, 25, 68.4, 1, 25, 67.6, 1, 25, 66.8, 1, 25, 66.2, 1, 73, 1, 10, 73.6, 1, 15, 80, 1, 20, 78, 1, 25, 79.6, 1, 30, 81.8, 1, 25, 83.6, 1, 30, 80, 1, 35, 84.8, 1, 40, 86.8, 1, 45, 88.6, 1, 50, 90.6, 1, 50, 93, 1, 50, 94.8, 1, 50, 96, 1, 50, 97.4, 1, 50, 98.4, 1, 50, 99.4, 1, 55, 100.2, 1, 60, 101, 1, 65, 101.6, 1, 68, 102.4, 1, 71, 103, 1, 69, 104, 1, 59, 105, 1, 49, 105.8, 1, 41, 106, 1, 33, 105.8, 1, 25, 104.8, 1, 25, 104.6, 1, 25, 103.6, 1, 25, 102.8, 1, 25, 101.8, 1, 25, 101.4, 1, 25, 100.2, 1, 25, 98.2, 1, 25, 95.6, 1, 25, 93, 1, 25, 90.4, 1, 25, 87.8, 1, 25, 85.8, 1, 25, 85, 1, 25, 84.2, 1, 25, 83, 1, 25, 81.6, 1, 25, 81.6, 1, 25, 80.6, 1, 25, 79.8, 1, 25, 79.4, 1, 25, 79.4, 1, 25, 79, 1, 25, 78.8, 1, 25, 78.8, 1, 25, 78.8, 1, 25, 78.2, 1, 25, 77.6, 1, 25, 77.8, 1, 64, 1, 65.2, 1, 65.6, 1, 67, 1, 67.2, 1, 10, 69.2, 1, 20, 73, 1, 30, 78.2, 1, 40, 84, 1, 50, 90, 1, 50, 93, 1, 50, 94.2, 1, 50, 94.8, 1, 50, 94.2, 1, 50, 94.6, 1, 50, 95.2, 1, 50, 96.4, 1, 55, 96.8, 1, 60, 97.4, 1, 65, 98.6, 1, 70, 100.4, 1, 75, 101.8, 1, 75, 104, 1, 75, 107.2, 1, 75, 109, 1, 75, 110.2, 1, 75, 111.6, 1, 75, 112.8, 1, 75, 112.4, 1, 80, 112.4, 1, 85, 113.4, 1, 90, 114.6, 1, 95, 116.8, 1, 100, 119.6, 1, 100, 122.6, 1, 100, 124.8, 1, 100, 126.6, 1, 100, 129, 1, 100, 130.6, 1, 100, 132, 1, 100, 133.6, 1, 105, 135.2, 1, 110, 135.6, 1, 115, 137, 1, 120, 138.8, 1, 125, 140.4, 1, 125, 141.8, 1, 125, 143.4, 1, 125, 145, 1, 125, 146, 1, 125, 147.2, 1, 125, 148.8, 1, 125, 150.6, 1, 105, 151.8, 1, 85, 151.8, 1, 65, 150.2, 1, 45, 146.4, 1, 25, 140.6, 1, 25, 134, 1, 25, 127.6, 1, 25, 120.4, 1, 25, 114.2, 1, 25, 108.2, 1, 25, 98.6, 1, 25, 89.8, 1, 25, 82.2, 1, 25, 78, 1, 25, 74, 1, 25, 75.6, 1, 25, 76.6, 1, 25, 78, 1, 25, 77.4, 1, 25, 79.6, 1, 25, 78.8, 1, 25, 80, 1, 25, 79.4, 1, 25, 78.4, 1, 25, 76, 1, 25, 76, 1, 25, 76.2, 1, 25, 79.4, 1, 25, 81.6, 1, 25, 82.4, 1, 25, 82.2, 1, 25, 81.2, 1, 67.8, 1, 68, 1, 68.2, 1, 10, 68.4, 1, 20, 68.4, 1, 30, 68.8, 1, 40, 69, 1, 50, 69.4, 1, 50, 70.6, 1, 50, 72, 1, 50, 74.4, 1, 50, 77.6, 1, 50, 80.8, 1, 50, 82.4, 1, 50, 84.4, 1, 50, 84.8, 1, 50, 85, 1, 55, 84.8, 1, 60, 85.6, 1, 65, 86.4, 1, 70, 87.6, 1, 75, 89.8, 1, 75, 91, 1, 75, 92, 1, 75, 92.8, 1, 75, 94.2, 1, 75, 94.4, 1, 75, 95.6, 1, 75, 97, 1, 75, 98.2, 1, 75, 98.2, 1, 65, 98, 1, 55, 96.6, 1, 45, 93.8, 1, 35, 91.6, 1, 25, 88.2, 1, 25, 84.2, 1, 25, 81.6, 1, 10, 69.2, 1, 20, 72, 1, 30, 76.4, 1, 40, 81.6, 1, 50, 87.4, 1, 50, 92.4, 1, 50, 95.4, 1, 50, 97.6, 1, 50, 98.8, 1, 50, 100.6, 1, 50, 102.2, 1, 50, 103.6, 1, 55, 104.6, 1, 60, 105.6, 1, 65, 106.8, 1, 70, 108, 1, 75, 109.4, 1, 75, 111.4, 1, 75, 115.4, 1, 75, 117.2, 1, 75, 119, 1, 75, 121.6, 1, 75, 124, 1, 75, 125.4, 1, 80, 127.6, 1, 70, 129.6, 1, 60, 130.6, 1, 50, 129.6, 1, 40, 125.8, 1, 25, 121.2, 1, 25, 115.6, 1, 25, 108.6, 1, 25, 103, 1, 25, 99.2, 1, 25, 96.6, 1, 25, 92.2, 1, 25, 91.4, 1, 25, 91.2, 1, 25, 90.2, 1, 25, 89.2, 1, 102.2, 1, 102, 1, 101.2, 1, 10, 104.2, 1, 20, 107.2, 1, 30, 109.8, 1, 40, 114.8, 1, 50, 120.8, 1, 50, 123, 1, 50, 125.2, 1, 50, 127.6, 1, 50, 129.6, 1, 50, 131.2, 1, 50, 132.8, 1, 55, 134, 1, 60, 135.2, 1, 65, 136.6, 1, 70, 138.6, 1, 75, 140.6, 1, 75, 142.6, 1, 75, 144.2, 1, 75, 145.6, 1, 75, 146.4, 1, 75, 147.2, 1, 75, 148.2, 1, 75, 150.2, 1, 80, 152, 1, 70, 153.2, 1, 60, 153.8, 1, 50, 153.4, 1, 40, 151.6, 1, 25, 149, 1, 25, 147.2, 1, 25, 145.4, 1, 25, 144, 1, 25, 143.2, 1, 25, 142.2, 1, 25, 140.6, 1, 25, 138.4, 1, 25, 136.2, 1, 25, 133.4, 1, 25, 131.6, 1, 25, 129.6, 1, 25, 128.4, 1, 25, 128, 1, 25, 128.8, 1, 25, 129, 1, 25, 129, 1, 25, 128.6, 1, 25, 119.2, 1, 25, 118.2, 1, 25, 114.2, 1, 25, 111.2, 1, 25, 109.4, 1, 25, 115.4, 1, 25, 113.2, 1, 25, 115.4, 1, 25, 114.6, 1, 53.4, 1, 53, 1, 53.4, 1, 10, 55.8, 1, 15, 58.6, 1, 20, 62.6, 1, 25, 67, 1, 30, 71, 1, 30, 73.8, 1, 35, 75.8, 1, 40, 77.6, 1, 45, 79.2, 1, 50, 80.8, 1, 50, 82.8, 1, 50, 85.4, 1, 50, 87.4, 1, 50, 89.2, 1, 50, 90.6, 1, 50, 92, 1, 50, 93.2, 1, 55, 94.6, 1, 60, 95.6, 1, 65, 96.4, 1, 70, 97.2, 1, 75, 98, 1, 75, 99.2, 1, 75, 100.6, 1, 75, 102.2, 1, 75, 104.2, 1, 75, 106.8, 1, 75, 108.8, 1, 75, 111, 1, 80, 112.6, 1, 70, 113.8, 1, 55, 112.2, 1, 40, 109.2, 1, 25, 105.8, 1, 5, 99.8, 1, 94, 1, 89, 1, 83.2, 1, 77.2, 1, 72, 1, 66.4, 1, 61.6, 1, 59.2, 1, 56.6, 1, 56, 1, 55.2, 1, 55, 1, 54.2, 1, 54.4, 1, 54.8, 1, 55.2, 1, 56.2, 1, 56.2, 1, 56, 1, 57.4, 1, 57.2, 1, 56.2, 1, 57.8, 1, 59.4, 1, 50, 82.8, 1, 65, 86.4, 1, 70, 89.4, 1, 75, 88.6, 1, 75, 90.6, 1, 75, 90.6, 1, 80, 90.2, 1, 85, 90.2, 1, 90, 91.8, 1, 95, 92.4, 1, 105, 93.8, 1, 110, 95.4, 1, 115, 98.6, 1, 120, 101.2, 1, 125, 101.8, 1, 130, 102.6, 1, 135, 104.2, 1, 140, 105.2, 1, 145, 105.8, 1, 150, 108.4, 1, 150, 111.8, 1, 150, 114.4, 1, 150, 116.4, 1, 150, 118.2, 1, 155, 119.8, 1, 160, 120.8, 1, 165, 122.2, 1, 170, 123, 1, 175, 124.6, 1, 175, 126.2, 1, 175, 127.6, 1, 175, 128.6, 1, 175, 129.2, 1, 180, 130, 1, 185, 131.6, 1, 190, 133.2, 1, 195, 134.4, 1, 200, 135.8, 1, 200, 137.2, 1, 200, 137.8, 1, 200, 137.8, 1, 200, 138.8, 1, 200, 139.6, 1, 205, 140.6, 1, 210, 141.8, 1, 215, 143, 1, 220, 143.8, 1, 225, 145.2, 1, 225, 146.2, 1, 225, 147.2, 1, 225, 148.6, 1, 225, 150.2, 1, 225, 151.8, 1, 225, 152.6, 1, 225, 153.2, 1, 230, 154.4, 1, 235, 155.2, 1, 240, 155.8, 1, 245, 157.2, 1, 250, 158.2, 1, 250, 159.4, 1, 250, 160.6, 1, 250, 161.8, 1, 250, 163.2, 1, 250, 164.8, 1, 250, 165.6, 1, 250, 166.2, 1, 205, 167, 1, 160, 167.6, 1, 115, 166.2, 1, 70, 160.6, 1, 25, 154.4, 1, 25, 148, 1, 25, 138.4, 1, 25, 131.4, 1, 25, 127.2, 1, 25, 123, 1, 25, 117.8, 1, 25, 114.4, 1, 25, 109.8, 1, 25, 105, 1, 25, 102.6, 1, 25, 100.8, 1, 25, 101.2, 1, 25, 101.2, 1, 25, 101, 1, 25, 98.4, 1, 25, 95.6, 1, 25, 92.4, 1, 25, 90, 1, 25, 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139.2, 1, 25, 136.6, 1, 25, 134, 1, 25, 131.6, 1, 25, 128.8, 1, 25, 125.8, 1, 25, 122.8, 1, 25, 119.8, 1, 25, 116.6, 1, 25, 115.6, 1, 25, 112.6, 1, 25, 110.2, 1, 25, 108.8, 1, 25, 107, 1, 25, 103.8, 1, 25, 102, 1, 25, 98, 1, 25, 90.2, 1, 25, 84.6, 1, 25, 77.8, 1, 25, 70.4, 1, 25, 70.2, 1, 79.6, 1, 78.8, 1, 10, 79.2, 1, 20, 81.2, 1, 30, 83.4, 1, 40, 85.2, 1, 50, 87.8, 1, 50, 91, 1, 50, 92.8, 1, 50, 94.8, 1, 50, 96.2, 1, 50, 97.6, 1, 50, 97.6, 1, 50, 97.2, 1, 55, 97.2, 1, 60, 98, 1, 65, 99, 1, 70, 100.4, 1, 75, 101.4, 1, 75, 102.2, 1, 75, 102.4, 1, 75, 102.2, 1, 75, 102.6, 1, 75, 104, 1, 75, 105.2, 1, 75, 107.2, 1, 80, 109.2, 1, 85, 111, 1, 90, 112, 1, 95, 113.6, 1, 100, 116.6, 1, 85, 117.2, 1, 70, 115, 1, 55, 112.6, 1, 40, 107.6, 1, 25, 101.2, 1, 25, 94.8, 1, 25, 90.2, 1, 25, 86.4, 1, 25, 85.2, 1, 25, 82, 1, 25, 83.2, 1, 25, 84.4, 1, 25, 82.4, 1, 25, 80.6, 1, 25, 79.2, 1, 25, 77.6, 1, 25, 76.8, 1, 25, 76.4, 1, 25, 75.8, 1, 25, 76.8, 1, 25, 77, 1, 25, 77.4, 1, 25, 79.6, 1, 20, 63.2, 1, 30, 66.6, 1, 40, 70.2, 1, 50, 76, 1, 50, 80.6, 1, 50, 85.6, 1, 50, 86.8, 1, 50, 88.2, 1, 50, 88.6, 1, 50, 90.4, 1, 50, 91.4, 1, 55, 93.8, 1, 60, 95, 1, 65, 96.6, 1, 70, 98, 1, 75, 100, 1, 75, 100.8, 1, 75, 102.6, 1, 75, 104, 1, 75, 104.4, 1, 75, 105, 1, 75, 105.8, 1, 75, 105.8, 1, 80, 105.8, 1, 85, 106.2, 1, 90, 106.6, 1, 95, 107.8, 1, 100, 109, 1, 100, 110.4, 1, 100, 112, 1, 100, 113.6, 1, 100, 115.2, 1, 85, 117.2, 1, 70, 116.8, 1, 55, 114.4, 1, 40, 111, 1, 25, 106.8, 1, 25, 100.4, 1, 25, 96, 1, 25, 93, 1, 25, 90.8, 1, 25, 87.4, 1, 25, 85, 1, 25, 82.2, 1, 25, 79.2, 1, 25, 75.8, 1, 25, 74, 1, 25, 73, 1, 25, 71.8, 1, 25, 71, 1, 20, 87.2, 1, 30, 89.6, 1, 40, 92, 1, 50, 96, 1, 50, 99.8, 1, 50, 101.8, 1, 50, 104.2, 1, 50, 106.6, 1, 50, 108, 1, 50, 108.6, 1, 55, 108.8, 1, 60, 108.8, 1, 65, 108.6, 1, 70, 109.4, 1, 75, 110.4, 1, 75, 111.2, 1, 75, 112.6, 1, 75, 114.6, 1, 75, 115.8, 1, 75, 117, 1, 75, 117.8, 1, 75, 118.6, 1, 80, 119.4, 1, 85, 119.8, 1, 90, 120.8, 1, 95, 122.2, 1, 100, 123.4, 1, 100, 124.6, 1, 100, 125.8, 1, 100, 126.8, 1, 100, 128.6, 1, 100, 130.4, 1, 100, 131.4, 1, 100, 126.2, 1, 105, 127.6, 1, 110, 128.6, 1, 115, 129, 1, 120, 129.8, 1, 125, 137, 1, 125, 137.6, 1, 125, 138.2, 1, 125, 139.8, 1, 125, 141.6, 1, 125, 143.6, 1, 125, 145.6, 1, 125, 147.6, 1, 130, 148.8, 1, 135, 150, 1, 140, 150.8, 1, 145, 151.6, 1, 150, 152.2, 1, 150, 153.6, 1, 150, 154.8, 1, 125, 156.2, 1, 100, 157.6, 1, 75, 158.4, 1, 50, 158.2, 1, 25, 157, 1, 25, 154.4, 1, 25, 151, 1, 25, 147.2, 1, 25, 142.2, 1, 25, 137.8, 1, 25, 133.4, 1, 25, 129.2, 1, 25, 125.4, 1, 20, 122.8, 1, 15, 119.2, 1, 10, 116, 1, 5, 113.4, 1, 110.6, 1, 108.2, 1, 105.6, 1, 103.8, 1, 101.8, 1, 99.8, 1, 97.8, 1, 30, 90.8, 1, 40, 92.2, 1, 50, 94.2, 1, 50, 96.4, 1, 50, 98.4, 1, 50, 99.2, 1, 50, 100.2, 1, 50, 101, 1, 50, 100.8, 1, 50, 101.8, 1, 55, 102.8, 1, 60, 103.4, 1, 65, 104.4, 1, 70, 106.2, 1, 75, 106.8, 1, 75, 107.2, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.8, 1, 75, 108.4, 1, 75, 109.2, 1, 80, 109.8, 1, 85, 111.2, 1, 90, 112.6, 1, 95, 113.4, 1, 100, 114, 1, 100, 114.6, 1, 100, 114.4, 1, 100, 113.8, 1, 100, 114, 1, 100, 114, 1, 100, 114.4, 1, 100, 115.2, 1, 105, 116, 1, 110, 116.6, 1, 115, 117.6, 1, 120, 118.4, 1, 125, 118.8, 1, 125, 119.2, 1, 125, 119.6, 1, 125, 119.6, 1, 125, 119.4, 1, 125, 119.4, 1, 125, 119.8, 1, 125, 120, 1, 131, 120.4, 1, 137, 121, 1, 143, 121.2, 1, 149, 121.4, 1, 155, 121.6, 1, 155, 122, 1, 155, 122.2, 1, 155, 122.8, 1, 155, 123.2, 1, 155, 123.4, 1, 155, 123.8, 1, 155, 124.2, 1, 161, 124.6, 1, 167, 125.2, 1, 173, 126.2, 1, 179, 126.8, 1, 185, 127.4, 1, 185, 128, 1, 185, 128.6, 1, 185, 129.2, 1, 185, 130.2, 1, 185, 131.4, 1, 185, 132.2, 1, 153, 133, 1, 121, 133.4, 1, 89, 132.8, 1, 57, 131.8, 1, 25, 130.4, 1, 25, 128.2, 1, 25, 125.8, 1, 25, 123.8, 1, 25, 121.8, 1, 25, 120, 1, 25, 119, 1, 25, 118, 1, 25, 117, 1, 25, 115.8, 1, 25, 114.8, 1, 25, 113.4, 1, 25, 112.2, 1, 25, 111.2, 1, 25, 110.4, 1, 25, 110, 1, 20, 109.6, 1, 15, 109.4, 1, 10, 109.2, 1, 5, 109, 1, 108.4, 1, 107.8, 1, 107, 1, 106.2, 1, 105.4, 1, 104.6, 1, 104.4, 1, 104.2, 1, 104, 1, 103.6, 1, 102.4, 1, 102.6, 1, 102.8, 1, 102.8, 1, 103.2, 1, 104.6, 1, 105.8, 1, 106.4, 1, 10, 87.6, 1, 20, 88.2, 1, 30, 90.2, 1, 40, 93.6, 1, 50, 96.6, 1, 50, 101.6, 1, 50, 106.2, 1, 50, 108.8, 1, 50, 111.4, 1, 50, 113.2, 1, 50, 113.8, 1, 55, 115.4, 1, 60, 117.2, 1, 65, 119.2, 1, 70, 122.6, 1, 75, 126, 1, 75, 128.8, 1, 75, 131.6, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136, 1, 75, 137.2, 1, 75, 137.8, 1, 80, 138.4, 1, 85, 140, 1, 90, 141.8, 1, 95, 142.8, 1, 100, 145.2, 1, 97, 147, 1, 94, 147.6, 1, 91, 148.8, 1, 88, 150.6, 1, 85, 151.2, 1, 85, 153.2, 1, 85, 155.2, 1, 90, 156.4, 1, 78, 157.8, 1, 66, 159.8, 1, 54, 160.6, 1, 42, 159.4, 1, 25, 156.8, 1, 25, 152.4, 1, 25, 147.4, 1, 25, 143, 1, 25, 139.2, 1, 25, 136.4, 1, 25, 134.8, 1, 25, 133.8, 1, 25, 132.8, 1, 25, 132.6, 1, 25, 132.8, 1, 25, 131.6, 1, 25, 130.2, 1, 25, 129, 1, 25, 128.2, 1, 25, 126.4, 1, 25, 125.8, 1, 25, 126.2, 1, 25, 124.6, 1, 25, 123.2, 1, 25, 122.2, 1, 25, 122.2, 1, 25, 121.4, 1, 25, 122.2, 1, 25, 123.6, 1, 25, 124.6, 1, 25, 124.4, 1, 25, 123.2, 1, 25, 122.4, 1, 25, 120.6, 1, 25, 119, 1, 25, 119, 1, 25, 119.4, 1, 25, 119.2, 1, 25, 119.4), factors = list())), nl = c(id = 21L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = FALSE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = paste0("signal_derivate1 ~ signal_rollmean + (1 +", paste(doremiexc, "rollmean ", collapse = "+", sep = "_"), " + signal_rollmean |id) + ", paste(doremiexc, "rollmean ", collapse = "+", sep = "_")), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 12: eval(expr, p) 13: eval(expr, p) 14: eval.parent(mc) 15: lmer(paste0("signal_derivate1 ~ signal_rollmean + (1 +", paste(doremiexc, "rollmean ", collapse = "+", sep = "_"), " + signal_rollmean |id) + ", paste(doremiexc, "rollmean ", collapse = "+", sep = "_")), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 16: doTryCatch(return(expr), name, parentenv, handler) 17: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 18: tryCatchList(expr, classes, parentenv, handlers) 19: tryCatch({ lmer(paste0("signal_derivate1 ~ signal_rollmean + (1 +", paste(doremiexc, "rollmean ", collapse = "+", sep = "_"), " + signal_rollmean |id) + ", paste(doremiexc, "rollmean ", collapse = "+", sep = "_")), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap"))}, error = function(e) e) 20: analyze.1order(data = cardio, id = "id", input = "load", time = "time", signal = "hr", dermethod = "gold", derparam = 5) An irrecoverable exception occurred. R is aborting now ... * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... ERROR Error(s) in re-building vignettes: --- re-building 'Introduction-to-doremi.Rmd' using rmarkdown --- finished re-building 'Introduction-to-doremi.Rmd' --- re-building 'derivatives.Rmd' using rmarkdown --- finished re-building 'derivatives.Rmd' sh: line 1: 2554036 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16169352/RtmpNOvEdd/file26ed845c5afe13' 2>&1 < '/tmp/th798/16169352/RtmpNOvEdd/file26ed842d038b12' --- re-building 'first-order.Rmd' using rmarkdown *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L), p = c(0L, 2L, 4L, 6L, 8L, 10L, 12L, 14L, 16L, 18L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 40L, 42L, 44L, 46L, 48L, 50L, 52L, 54L, 56L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 78L, 80L, 82L, 84L, 86L, 88L, 90L, 92L, 94L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 116L, 118L, 120L, 122L, 124L, 126L, 128L, 130L, 132L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 204L, 206L, 208L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 230L, 232L, 234L, 236L, 238L, 240L, 242L, 244L, 246L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 268L, 270L, 272L, 274L, 276L, 278L, 280L, 282L, 284L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 306L), Dim = c(6L, 153L), Dimnames = list(c("1", "1", "2", "2", "3", "3"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153")), x = c(1, 0.495901740514453, 1, 0.456667330730232, 1, 0.417440930273866, 1, 0.378607292857146, 1, 0.340659283349848, 1, 0.304063203449382, 1, 0.269103539496562, 1, 0.235856884459146, 1, 0.204850689401493, 1, 0.176697919999063, 1, 0.151476833072145, 1, 0.129383233319988, 1, 0.110581500927246, 1, 0.0950371687999673, 1, 0.0827187786774895, 1, 0.0734450392696856, 1, 0.066922705728226, 1, 0.0626956867588806, 1, 0.0599706925051169, 1, 0.0582479815059123, 1, 0.0571352918848011, 1, 0.0559992664490986, 1, 0.0545151960344742, 1, 0.0524778844096558, 1, 0.0495515244912467, 1, 0.0455704441018668, 1, 0.0406129660713029, 1, 0.0349746944056548, 1, 0.0291293263767279, 1, 0.0236552723885336, 1, 0.0190406248379424, 1, 0.0155836992008754, 1, 0.0133530231470362, 1, 0.0121372034469481, 1, 0.0114999258403529, 1, 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0.0479047992825853, 1, 0.0465819983744561, 1, 0.0448812327689728, 1, 0.0427429947917704, 1, 0.0403110997563418, 1, 0.0377429026005286, 1, 0.0350002312332498, 1, 0.0317081208199126, 1, 0.0276010903976929, 1, 0.0222867114510955, 1, 0.015998580697241, 1, 0.00951095166539377, 1, 0.00348416818854211, 1, -0.00185772394663211, 1, -0.00654403278732607, 1, -0.0104926386878161, 1, -0.0135588231897803, 1, -0.0156223250392156, 1, -0.0166930711510285, 1, -0.0167001568079916, 1, -0.0157313924872644, 1, -0.0143247937655567, 1, -0.0128375986661221, 1, 0.644199695027728, 1, 0.603981696037456, 1, 0.5643611526696, 1, 0.525361389905558, 1, 0.487007623252729, 1, 0.449701988497688, 1, 0.41415545614283, 1, 0.381198612316433, 1, 0.351415346183655, 1, 0.324962272763981, 1, 0.301605163057527, 1, 0.281095431067726, 1, 0.262848290079001, 1, 0.246027800671702, 1, 0.229909513171003, 1, 0.214548047788424, 1, 0.199950795549937, 1, 0.186161751092888, 1, 0.173158604519073, 1, 0.160451975613128, 1, 0.147541282261464, 1, 0.13459870833537, 1, 0.12215710720471, 1, 0.110782293581536, 1, 0.100657818431491, 1, 0.0911755294651866, 1, 0.0819294898704175, 1, 0.0721649302232357, 1, 0.0616457698127599, 1, 0.0510935868331744, 1, 0.0410831137520532, 1, 0.0325863993008917, 1, 0.0266812178306308, 1, 0.0238895094233347, 1, 0.0240587948015663, 1, 0.0264330138614034, 1, 0.0299770527154764, 1, 0.0332471597972266, 1, 0.0353463797969794, 1, 0.036352790024463, 1, 0.0361087294104063, 1, 0.0347359993756661, 1, 0.0327860553486338, 1, 0.0308730596686004, 1, 0.0291092951539227, 1, 0.0273388376096616, 1, 0.0252603985515936, 1, 0.0226888182170497, 1, 0.019383774710581, 1, 0.0153799656270892, 1, 0.0109044953704476), factors = list()), theta = c(1, 0, 1), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L), Dim = c(6L, 6L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), n = 153L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.495901740514453, 0.456667330730232, 0.417440930273866, 0.378607292857146, 0.340659283349848, 0.304063203449382, 0.269103539496562, 0.235856884459146, 0.204850689401493, 0.176697919999063, 0.151476833072145, 0.129383233319988, 0.110581500927246, 0.0950371687999673, 0.0827187786774895, 0.0734450392696856, 0.066922705728226, 0.0626956867588806, 0.0599706925051169, 0.0582479815059123, 0.0571352918848011, 0.0559992664490986, 0.0545151960344742, 0.0524778844096558, 0.0495515244912467, 0.0455704441018668, 0.0406129660713029, 0.0349746944056548, 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0.0490872442736494, 0.0479047992825853, 0.0465819983744561, 0.0448812327689728, 0.0427429947917704, 0.0403110997563418, 0.0377429026005286, 0.0350002312332498, 0.0317081208199126, 0.0276010903976929, 0.0222867114510955, 0.015998580697241, 0.00951095166539377, 0.00348416818854211, -0.00185772394663211, -0.00654403278732607, -0.0104926386878161, -0.0135588231897803, -0.0156223250392156, -0.0166930711510285, -0.0167001568079916, -0.0157313924872644, -0.0143247937655567, -0.0128375986661221, 0.644199695027728, 0.603981696037456, 0.5643611526696, 0.525361389905558, 0.487007623252729, 0.449701988497688, 0.41415545614283, 0.381198612316433, 0.351415346183655, 0.324962272763981, 0.301605163057527, 0.281095431067726, 0.262848290079001, 0.246027800671702, 0.229909513171003, 0.214548047788424, 0.199950795549937, 0.186161751092888, 0.173158604519073, 0.160451975613128, 0.147541282261464, 0.13459870833537, 0.12215710720471, 0.110782293581536, 0.100657818431491, 0.0911755294651866, 0.0819294898704175, 0.0721649302232357, 0.0616457698127599, 0.0510935868331744, 0.0410831137520532, 0.0325863993008917, 0.0266812178306308, 0.0238895094233347, 0.0240587948015663, 0.0264330138614034, 0.0299770527154764, 0.0332471597972266, 0.0353463797969794, 0.036352790024463, 0.0361087294104063, 0.0347359993756661, 0.0327860553486338, 0.0308730596686004, 0.0291092951539227, 0.0273388376096616, 0.0252603985515936, 0.0226888182170497, 0.019383774710581, 0.0153799656270892, 0.0109044953704476)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(signal_derivate1 = c(-0.039220292182886, -0.0392627798141882, -0.0391110192821231, -0.0384732566765778, -0.0373408947836183, -0.0357954324122435, -0.0341446071272677, -0.0322450960493918, -0.0296335589603723, -0.0266975614893701, -0.0236977640701897, -0.0204554422670932, -0.0171664632961352, -0.0139168981084295, -0.0107541110194166, -0.00784304640474943, -0.00526192220937626, -0.00335732229016055, 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0.214548047788424, 1, 0.199950795549937, 1, 0.186161751092888, 1, 0.173158604519073, 1, 0.160451975613128, 1, 0.147541282261464, 1, 0.13459870833537, 1, 0.12215710720471, 1, 0.110782293581536, 1, 0.100657818431491, 1, 0.0911755294651866, 1, 0.0819294898704175, 1, 0.0721649302232357, 1, 0.0616457698127599, 1, 0.0510935868331744, 1, 0.0410831137520532, 1, 0.0325863993008917, 1, 0.0266812178306308, 1, 0.0238895094233347, 1, 0.0240587948015663, 1, 0.0264330138614034, 1, 0.0299770527154764, 1, 0.0332471597972266, 1, 0.0353463797969794, 1, 0.036352790024463, 1, 0.0361087294104063, 1, 0.0347359993756661, 1, 0.0327860553486338, 1, 0.0308730596686004, 1, 0.0291092951539227, 1, 0.0273388376096616, 1, 0.0252603985515936, 1, 0.0226888182170497, 1, 0.019383774710581, 1, 0.0153799656270892, 1, 0.0109044953704476), factors = list()), theta = c(1, 0, 1), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), Gp = c(0L, 6L), lower = c(0, -Inf, 0), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L), Dim = c(6L, 6L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), flist = list(id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L)), cnms = list(id = c("(Intercept)", "signal_rollmean")), Ztlist = list(`1 + signal_rollmean | id` = new("dgCMatrix", i = c(0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L), p = c(0L, 2L, 4L, 6L, 8L, 10L, 12L, 14L, 16L, 18L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 40L, 42L, 44L, 46L, 48L, 50L, 52L, 54L, 56L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 78L, 80L, 82L, 84L, 86L, 88L, 90L, 92L, 94L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 116L, 118L, 120L, 122L, 124L, 126L, 128L, 130L, 132L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 204L, 206L, 208L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 230L, 232L, 234L, 236L, 238L, 240L, 242L, 244L, 246L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 268L, 270L, 272L, 274L, 276L, 278L, 280L, 282L, 284L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 306L), Dim = c(6L, 153L), Dimnames = list(c("1", "1", "2", "2", "3", "3"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153")), x = c(1, 0.495901740514453, 1, 0.456667330730232, 1, 0.417440930273866, 1, 0.378607292857146, 1, 0.340659283349848, 1, 0.304063203449382, 1, 0.269103539496562, 1, 0.235856884459146, 1, 0.204850689401493, 1, 0.176697919999063, 1, 0.151476833072145, 1, 0.129383233319988, 1, 0.110581500927246, 1, 0.0950371687999673, 1, 0.0827187786774895, 1, 0.0734450392696856, 1, 0.066922705728226, 1, 0.0626956867588806, 1, 0.0599706925051169, 1, 0.0582479815059123, 1, 0.0571352918848011, 1, 0.0559992664490986, 1, 0.0545151960344742, 1, 0.0524778844096558, 1, 0.0495515244912467, 1, 0.0455704441018668, 1, 0.0406129660713029, 1, 0.0349746944056548, 1, 0.0291293263767279, 1, 0.0236552723885336, 1, 0.0190406248379424, 1, 0.0155836992008754, 1, 0.0133530231470362, 1, 0.0121372034469481, 1, 0.0114999258403529, 1, 0.0107514250837696, 1, 0.00990387374222004, 1, 0.00944102738866133, 1, 0.00952993457067955, 1, 0.0100553458647544, 1, 0.010748753511342, 1, 0.0115069218130202, 1, 0.0122218209796644, 1, 0.0127813225058941, 1, 0.0129882215658813, 1, 0.0126358539555969, 1, 0.0118325758489222, 1, 0.0107358684530313, 1, 0.00974825633484331, 1, 0.00883815171617124, 1, 0.00795451127320121, 1, 0.474813339721955, 1, 0.439432207343025, 1, 0.404704579675745, 1, 0.371290038146746, 1, 0.339750204081794, 1, 0.310229756171823, 1, 0.282426193460573, 1, 0.256011302393311, 1, 0.230732843297559, 1, 0.20635688389345, 1, 0.183030864629351, 1, 0.161549838823146, 1, 0.142483373617182, 1, 0.12567050531604, 1, 0.111074166059907, 1, 0.0985115134424055, 1, 0.0876794670135153, 1, 0.0786330063373759, 1, 0.0714121008569693, 1, 0.065728312891847, 1, 0.0613149875074854, 1, 0.0579248613567178, 1, 0.0553532822590321, 1, 0.053480161165388, 1, 0.0520956483060528, 1, 0.0510672787322321, 1, 0.0501421098771147, 1, 0.0490872442736494, 1, 0.0479047992825853, 1, 0.0465819983744561, 1, 0.0448812327689728, 1, 0.0427429947917704, 1, 0.0403110997563418, 1, 0.0377429026005286, 1, 0.0350002312332498, 1, 0.0317081208199126, 1, 0.0276010903976929, 1, 0.0222867114510955, 1, 0.015998580697241, 1, 0.00951095166539377, 1, 0.00348416818854211, 1, -0.00185772394663211, 1, -0.00654403278732607, 1, -0.0104926386878161, 1, -0.0135588231897803, 1, -0.0156223250392156, 1, -0.0166930711510285, 1, -0.0167001568079916, 1, -0.0157313924872644, 1, -0.0143247937655567, 1, -0.0128375986661221, 1, 0.644199695027728, 1, 0.603981696037456, 1, 0.5643611526696, 1, 0.525361389905558, 1, 0.487007623252729, 1, 0.449701988497688, 1, 0.41415545614283, 1, 0.381198612316433, 1, 0.351415346183655, 1, 0.324962272763981, 1, 0.301605163057527, 1, 0.281095431067726, 1, 0.262848290079001, 1, 0.246027800671702, 1, 0.229909513171003, 1, 0.214548047788424, 1, 0.199950795549937, 1, 0.186161751092888, 1, 0.173158604519073, 1, 0.160451975613128, 1, 0.147541282261464, 1, 0.13459870833537, 1, 0.12215710720471, 1, 0.110782293581536, 1, 0.100657818431491, 1, 0.0911755294651866, 1, 0.0819294898704175, 1, 0.0721649302232357, 1, 0.0616457698127599, 1, 0.0510935868331744, 1, 0.0410831137520532, 1, 0.0325863993008917, 1, 0.0266812178306308, 1, 0.0238895094233347, 1, 0.0240587948015663, 1, 0.0264330138614034, 1, 0.0299770527154764, 1, 0.0332471597972266, 1, 0.0353463797969794, 1, 0.036352790024463, 1, 0.0361087294104063, 1, 0.0347359993756661, 1, 0.0327860553486338, 1, 0.0308730596686004, 1, 0.0291092951539227, 1, 0.0273388376096616, 1, 0.0252603985515936, 1, 0.0226888182170497, 1, 0.019383774710581, 1, 0.0153799656270892, 1, 0.0109044953704476), factors = list())), nl = c(id = 3L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = FALSE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = signal_derivate1 ~ signal_rollmean + (1 + signal_rollmean | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 12: eval(expr, p) 13: eval(expr, p) 14: eval.parent(mc) 15: lmer(signal_derivate1 ~ signal_rollmean + (1 + signal_rollmean | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 16: doTryCatch(return(expr), name, parentenv, handler) 17: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 18: tryCatchList(expr, classes, parentenv, handlers) 19: tryCatch({ lmer(signal_derivate1 ~ signal_rollmean + (1 + signal_rollmean | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap"))}, error = function(e) e) 20: analyze.1order(data = data3, id = "id", time = "time", signal = "signal", dermethod = "fda", derparam = 0.7) 21: eval(expr, envir, enclos) 22: eval(expr, envir, enclos) 23: eval_with_user_handlers(expr, envir, enclos, user_handlers) 24: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)) 25: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler) 26: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)) 27: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))) 28: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing) 29: evaluate::evaluate(...) 30: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 31: in_dir(input_dir(), expr) 32: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 33: eng_r(options) 34: block_exec(params) 35: call_block(x) 36: process_group(group) 37: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 38: withCallingHandlers(expr, error = function(e) { loc = if (is.function(fun)) trimws(fun(label)) else "" if (loc != "") loc = sprintf(" at lines %s", loc) message(one_string(handler(e, loc)))}) 39: xfun:::handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) 40: process_file(text, output) 41: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 42: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 43: vweave_rmarkdown(...) 44: engine$weave(file, quiet = quiet, encoding = enc) 45: doTryCatch(return(expr), name, parentenv, handler) 46: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 47: tryCatchList(expr, classes, parentenv, handlers) 48: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 49: tools:::.buildOneVignette("first-order.Rmd", "/tmp/th798/16169352/R-release/342/doremi.Rcheck/vign_test/doremi", TRUE, FALSE, "first-order", "UTF-8", "/tmp/th798/16169352/RtmpNOvEdd/file26ed8433570b80.rds") An irrecoverable exception occurred. R is aborting now ... sh: line 1: 2556916 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16169352/RtmpNOvEdd/file26ed845220130a' 2>&1 < '/tmp/th798/16169352/RtmpNOvEdd/file26ed845e0f88c4' --- re-building 'second-order.Rmd' using rmarkdown *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 141L, 144L, 147L, 150L, 153L, 156L, 159L, 162L, 165L, 168L, 171L, 174L, 177L, 180L, 183L, 186L, 189L, 192L, 195L, 198L, 201L, 204L, 207L, 210L, 213L, 216L, 219L, 222L, 225L, 228L, 231L, 234L, 237L, 240L, 243L, 246L, 249L, 252L, 255L, 258L, 261L, 264L, 267L, 270L, 273L, 276L, 279L, 282L, 285L, 288L, 291L, 294L, 297L, 300L, 303L, 306L, 309L, 312L, 315L, 318L, 321L, 324L, 327L, 330L, 333L, 336L, 339L, 342L, 345L, 348L, 351L, 354L, 357L, 360L, 363L, 366L, 369L, 372L, 375L, 378L, 381L, 384L, 387L, 390L, 393L, 396L, 399L, 402L, 405L, 408L, 411L, 414L, 417L, 420L, 423L, 426L, 429L, 432L, 435L, 438L, 441L, 444L, 447L, 450L, 453L, 456L, 459L, 462L, 465L, 468L, 471L, 474L, 477L, 480L, 483L, 486L, 489L, 492L, 495L, 498L, 501L, 504L, 507L, 510L, 513L, 516L, 519L, 522L, 525L, 528L, 531L, 534L, 537L, 540L, 543L, 546L, 549L, 552L, 555L, 558L, 561L, 564L, 567L, 570L, 573L, 576L, 579L, 582L, 585L, 588L, 591L, 594L, 597L, 600L, 603L, 606L, 609L, 612L, 615L, 618L, 621L, 624L, 627L, 630L, 633L, 636L, 639L, 642L, 645L, 648L, 651L, 654L, 657L, 660L, 663L, 666L, 669L, 672L, 675L, 678L, 681L, 684L, 687L, 690L, 693L, 696L, 699L, 702L, 705L, 708L, 711L, 714L, 717L, 720L, 723L, 726L, 729L, 732L, 735L, 738L, 741L, 744L, 747L, 750L, 753L, 756L, 759L, 762L, 765L, 768L, 771L, 774L, 777L, 780L, 783L, 786L, 789L, 792L, 795L, 798L, 801L, 804L, 807L, 810L, 813L, 816L, 819L, 822L, 825L, 828L, 831L, 834L, 837L, 840L, 843L, 846L, 849L, 852L, 855L, 858L, 861L, 864L, 867L, 870L, 873L, 876L, 879L, 882L, 885L, 888L, 891L, 894L, 897L, 900L, 903L, 906L, 909L, 912L, 915L, 918L, 921L, 924L, 927L, 930L, 933L, 936L, 939L, 942L, 945L, 948L, 951L, 954L, 957L, 960L, 963L, 966L, 969L, 972L, 975L, 978L, 981L, 984L, 987L, 990L, 993L, 996L, 999L, 1002L, 1005L, 1008L, 1011L, 1014L, 1017L, 1020L, 1023L, 1026L, 1029L, 1032L, 1035L, 1038L, 1041L, 1044L, 1047L, 1050L, 1053L, 1056L, 1059L, 1062L, 1065L, 1068L, 1071L, 1074L, 1077L, 1080L, 1083L, 1086L, 1089L, 1092L, 1095L, 1098L, 1101L, 1104L, 1107L, 1110L, 1113L, 1116L, 1119L, 1122L, 1125L, 1128L, 1131L, 1134L, 1137L, 1140L, 1143L, 1146L, 1149L, 1152L, 1155L, 1158L, 1161L, 1164L, 1167L, 1170L, 1173L, 1176L, 1179L, 1182L, 1185L, 1188L, 1191L, 1194L, 1197L, 1200L, 1203L, 1206L, 1209L, 1212L, 1215L, 1218L, 1221L, 1224L, 1227L, 1230L, 1233L, 1236L, 1239L, 1242L, 1245L, 1248L, 1251L, 1254L, 1257L, 1260L, 1263L, 1266L, 1269L, 1272L, 1275L, 1278L, 1281L, 1284L, 1287L, 1290L, 1293L, 1296L, 1299L, 1302L, 1305L, 1308L, 1311L, 1314L, 1317L, 1320L, 1323L, 1326L, 1329L, 1332L, 1335L, 1338L, 1341L, 1344L, 1347L, 1350L, 1353L, 1356L, 1359L, 1362L, 1365L, 1368L, 1371L, 1374L, 1377L, 1380L, 1383L, 1386L, 1389L, 1392L, 1395L, 1398L, 1401L, 1404L, 1407L, 1410L, 1413L, 1416L, 1419L, 1422L, 1425L, 1428L, 1431L, 1434L, 1437L, 1440L, 1443L, 1446L, 1449L, 1452L, 1455L, 1458L, 1461L, 1464L, 1467L, 1470L, 1473L, 1476L, 1479L, 1482L, 1485L, 1488L, 1491L, 1494L, 1497L, 1500L, 1503L, 1506L, 1509L, 1512L, 1515L, 1518L, 1521L, 1524L, 1527L, 1530L, 1533L, 1536L, 1539L, 1542L, 1545L, 1548L, 1551L, 1554L, 1557L, 1560L, 1563L, 1566L, 1569L, 1572L, 1575L, 1578L, 1581L, 1584L, 1587L, 1590L, 1593L, 1596L, 1599L, 1602L), Dim = c(18L, 534L), Dimnames = list(c("1", "1", "1", "2", "2", "2", "3", "3", "3", "4", "4", "4", "5", "5", "5", "6", "6", "6"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "102", "103", 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parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(signal_derivate2 = c(-0.138529790367782, 0.0266242413949501, 0.155202360913749, 0.139002329373805, 0.153577573001854, 0.15692259010168, 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4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 141L, 144L, 147L, 150L, 153L, 156L, 159L, 162L, 165L, 168L, 171L, 174L, 177L, 180L, 183L, 186L, 189L, 192L, 195L, 198L, 201L, 204L, 207L, 210L, 213L, 216L, 219L, 222L, 225L, 228L, 231L, 234L, 237L, 240L, 243L, 246L, 249L, 252L, 255L, 258L, 261L, 264L, 267L, 270L, 273L, 276L, 279L, 282L, 285L, 288L, 291L, 294L, 297L, 300L, 303L, 306L, 309L, 312L, 315L, 318L, 321L, 324L, 327L, 330L, 333L, 336L, 339L, 342L, 345L, 348L, 351L, 354L, 357L, 360L, 363L, 366L, 369L, 372L, 375L, 378L, 381L, 384L, 387L, 390L, 393L, 396L, 399L, 402L, 405L, 408L, 411L, 414L, 417L, 420L, 423L, 426L, 429L, 432L, 435L, 438L, 441L, 444L, 447L, 450L, 453L, 456L, 459L, 462L, 465L, 468L, 471L, 474L, 477L, 480L, 483L, 486L, 489L, 492L, 495L, 498L, 501L, 504L, 507L, 510L, 513L, 516L, 519L, 522L, 525L, 528L, 531L, 534L, 537L, 540L, 543L, 546L, 549L, 552L, 555L, 558L, 561L, 564L, 567L, 570L, 573L, 576L, 579L, 582L, 585L, 588L, 591L, 594L, 597L, 600L, 603L, 606L, 609L, 612L, 615L, 618L, 621L, 624L, 627L, 630L, 633L, 636L, 639L, 642L, 645L, 648L, 651L, 654L, 657L, 660L, 663L, 666L, 669L, 672L, 675L, 678L, 681L, 684L, 687L, 690L, 693L, 696L, 699L, 702L, 705L, 708L, 711L, 714L, 717L, 720L, 723L, 726L, 729L, 732L, 735L, 738L, 741L, 744L, 747L, 750L, 753L, 756L, 759L, 762L, 765L, 768L, 771L, 774L, 777L, 780L, 783L, 786L, 789L, 792L, 795L, 798L, 801L, 804L, 807L, 810L, 813L, 816L, 819L, 822L, 825L, 828L, 831L, 834L, 837L, 840L, 843L, 846L, 849L, 852L, 855L, 858L, 861L, 864L, 867L, 870L, 873L, 876L, 879L, 882L, 885L, 888L, 891L, 894L, 897L, 900L, 903L, 906L, 909L, 912L, 915L, 918L, 921L, 924L, 927L, 930L, 933L, 936L, 939L, 942L, 945L, 948L, 951L, 954L, 957L, 960L, 963L, 966L, 969L, 972L, 975L, 978L, 981L, 984L, 987L, 990L, 993L, 996L, 999L, 1002L, 1005L, 1008L, 1011L, 1014L, 1017L, 1020L, 1023L, 1026L, 1029L, 1032L, 1035L, 1038L, 1041L, 1044L, 1047L, 1050L, 1053L, 1056L, 1059L, 1062L, 1065L, 1068L, 1071L, 1074L, 1077L, 1080L, 1083L, 1086L, 1089L, 1092L, 1095L, 1098L, 1101L, 1104L, 1107L, 1110L, 1113L, 1116L, 1119L, 1122L, 1125L, 1128L, 1131L, 1134L, 1137L, 1140L, 1143L, 1146L, 1149L, 1152L, 1155L, 1158L, 1161L, 1164L, 1167L, 1170L, 1173L, 1176L, 1179L, 1182L, 1185L, 1188L, 1191L, 1194L, 1197L, 1200L, 1203L, 1206L, 1209L, 1212L, 1215L, 1218L, 1221L, 1224L, 1227L, 1230L, 1233L, 1236L, 1239L, 1242L, 1245L, 1248L, 1251L, 1254L, 1257L, 1260L, 1263L, 1266L, 1269L, 1272L, 1275L, 1278L, 1281L, 1284L, 1287L, 1290L, 1293L, 1296L, 1299L, 1302L, 1305L, 1308L, 1311L, 1314L, 1317L, 1320L, 1323L, 1326L, 1329L, 1332L, 1335L, 1338L, 1341L, 1344L, 1347L, 1350L, 1353L, 1356L, 1359L, 1362L, 1365L, 1368L, 1371L, 1374L, 1377L, 1380L, 1383L, 1386L, 1389L, 1392L, 1395L, 1398L, 1401L, 1404L, 1407L, 1410L, 1413L, 1416L, 1419L, 1422L, 1425L, 1428L, 1431L, 1434L, 1437L, 1440L, 1443L, 1446L, 1449L, 1452L, 1455L, 1458L, 1461L, 1464L, 1467L, 1470L, 1473L, 1476L, 1479L, 1482L, 1485L, 1488L, 1491L, 1494L, 1497L, 1500L, 1503L, 1506L, 1509L, 1512L, 1515L, 1518L, 1521L, 1524L, 1527L, 1530L, 1533L, 1536L, 1539L, 1542L, 1545L, 1548L, 1551L, 1554L, 1557L, 1560L, 1563L, 1566L, 1569L, 1572L, 1575L, 1578L, 1581L, 1584L, 1587L, 1590L, 1593L, 1596L, 1599L, 1602L), Dim = c(18L, 534L), Dimnames = list(c("1", "1", "1", "2", "2", "2", "3", "3", "3", "4", "4", "4", "5", "5", "5", "6", "6", "6"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", 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21L, 24L, 25L, 27L, 30L, 31L, 33L, 36L), Dim = c(18L, 18L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1), factors = list()), flist = list( id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L)), cnms = list(id = c("(Intercept)", "signal_rollmean", "signal_derivate1")), Ztlist = list(`1 + signal_rollmean + signal_derivate1 | id` = new("dgCMatrix", i = c(0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 141L, 144L, 147L, 150L, 153L, 156L, 159L, 162L, 165L, 168L, 171L, 174L, 177L, 180L, 183L, 186L, 189L, 192L, 195L, 198L, 201L, 204L, 207L, 210L, 213L, 216L, 219L, 222L, 225L, 228L, 231L, 234L, 237L, 240L, 243L, 246L, 249L, 252L, 255L, 258L, 261L, 264L, 267L, 270L, 273L, 276L, 279L, 282L, 285L, 288L, 291L, 294L, 297L, 300L, 303L, 306L, 309L, 312L, 315L, 318L, 321L, 324L, 327L, 330L, 333L, 336L, 339L, 342L, 345L, 348L, 351L, 354L, 357L, 360L, 363L, 366L, 369L, 372L, 375L, 378L, 381L, 384L, 387L, 390L, 393L, 396L, 399L, 402L, 405L, 408L, 411L, 414L, 417L, 420L, 423L, 426L, 429L, 432L, 435L, 438L, 441L, 444L, 447L, 450L, 453L, 456L, 459L, 462L, 465L, 468L, 471L, 474L, 477L, 480L, 483L, 486L, 489L, 492L, 495L, 498L, 501L, 504L, 507L, 510L, 513L, 516L, 519L, 522L, 525L, 528L, 531L, 534L, 537L, 540L, 543L, 546L, 549L, 552L, 555L, 558L, 561L, 564L, 567L, 570L, 573L, 576L, 579L, 582L, 585L, 588L, 591L, 594L, 597L, 600L, 603L, 606L, 609L, 612L, 615L, 618L, 621L, 624L, 627L, 630L, 633L, 636L, 639L, 642L, 645L, 648L, 651L, 654L, 657L, 660L, 663L, 666L, 669L, 672L, 675L, 678L, 681L, 684L, 687L, 690L, 693L, 696L, 699L, 702L, 705L, 708L, 711L, 714L, 717L, 720L, 723L, 726L, 729L, 732L, 735L, 738L, 741L, 744L, 747L, 750L, 753L, 756L, 759L, 762L, 765L, 768L, 771L, 774L, 777L, 780L, 783L, 786L, 789L, 792L, 795L, 798L, 801L, 804L, 807L, 810L, 813L, 816L, 819L, 822L, 825L, 828L, 831L, 834L, 837L, 840L, 843L, 846L, 849L, 852L, 855L, 858L, 861L, 864L, 867L, 870L, 873L, 876L, 879L, 882L, 885L, 888L, 891L, 894L, 897L, 900L, 903L, 906L, 909L, 912L, 915L, 918L, 921L, 924L, 927L, 930L, 933L, 936L, 939L, 942L, 945L, 948L, 951L, 954L, 957L, 960L, 963L, 966L, 969L, 972L, 975L, 978L, 981L, 984L, 987L, 990L, 993L, 996L, 999L, 1002L, 1005L, 1008L, 1011L, 1014L, 1017L, 1020L, 1023L, 1026L, 1029L, 1032L, 1035L, 1038L, 1041L, 1044L, 1047L, 1050L, 1053L, 1056L, 1059L, 1062L, 1065L, 1068L, 1071L, 1074L, 1077L, 1080L, 1083L, 1086L, 1089L, 1092L, 1095L, 1098L, 1101L, 1104L, 1107L, 1110L, 1113L, 1116L, 1119L, 1122L, 1125L, 1128L, 1131L, 1134L, 1137L, 1140L, 1143L, 1146L, 1149L, 1152L, 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1, 2.72303434350212, -0.16745286957516, 1, 2.76462182680025, -0.158032119157613, 1, 2.70798524351801, -0.214913130123171, 1, 2.09692472017047, -0.12555763106163, 1, 1.88923526267401, -0.249554695826986, 1, 1.46917170677881, -0.194369898367785, 1, 0.959712594759023, -0.137976232290559, 1, 0.761771086901308, -0.0940397975296971, 1, 0.537844997315571, -0.156915389739081, 1, 0.672644670314157, 0.0640557863604962, 1, 0.946543499126748, 0.14288443171293, 1, 1.81406497113656, 0.219702358071787, 1, 1.86393567160616, 0.0599609018428935, 1, 1.58860426341856, 0.206193901892882, 1, 1.89479898570547, 0.155584445102907, 1, 2.03047963610439, -0.00429214599633089, 1, 2.20274437544632, 0.135699959807315, 1, 1.93978432298276, 0.0745325342701068, 1, 2.1926269476036, 0.00773250077290647, 1, 2.52981912538039, -0.0502902923361319), factors = list())), nl = c(id = 6L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = FALSE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = signal_derivate2 ~ signal_derivate1 + signal_rollmean + (1 + signal_rollmean + signal_derivate1 | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 12: eval(expr, p) 13: eval(expr, p) 14: eval.parent(mc) 15: lmer(signal_derivate2 ~ signal_derivate1 + signal_rollmean + (1 + signal_rollmean + signal_derivate1 | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 16: doTryCatch(return(expr), name, parentenv, handler) 17: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 18: tryCatchList(expr, classes, parentenv, handlers) 19: tryCatch({ lmer(signal_derivate2 ~ signal_derivate1 + signal_rollmean + (1 + signal_rollmean + signal_derivate1 | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap"))}, error = function(e) e) 20: analyze.2order(data = data1, id = "id", time = "time", signal = "signal", dermethod = "glla", derparam = 13, order = 2) 21: eval(expr, envir, enclos) 22: eval(expr, envir, enclos) 23: eval_with_user_handlers(expr, envir, enclos, user_handlers) 24: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)) 25: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler) 26: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)) 27: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))) 28: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing) 29: evaluate::evaluate(...) 30: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 31: in_dir(input_dir(), expr) 32: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 33: eng_r(options) 34: block_exec(params) 35: call_block(x) 36: process_group(group) 37: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 38: withCallingHandlers(expr, error = function(e) { loc = if (is.function(fun)) trimws(fun(label)) else "" if (loc != "") loc = sprintf(" at lines %s", loc) message(one_string(handler(e, loc)))}) 39: xfun:::handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) 40: process_file(text, output) 41: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 42: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 43: vweave_rmarkdown(...) 44: engine$weave(file, quiet = quiet, encoding = enc) 45: doTryCatch(return(expr), name, parentenv, handler) 46: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 47: tryCatchList(expr, classes, parentenv, handlers) 48: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 49: tools:::.buildOneVignette("second-order.Rmd", "/tmp/th798/16169352/R-release/342/doremi.Rcheck/vign_test/doremi", TRUE, FALSE, "second-order", "UTF-8", "/tmp/th798/16169352/RtmpNOvEdd/file26ed8458c59757.rds") An irrecoverable exception occurred. R is aborting now ... SUMMARY: processing the following files failed: 'first-order.Rmd' 'second-order.Rmd' Error: Vignette re-building failed. Execution halted * checking PDF version of manual ... OK * DONE Status: 2 ERRORs, 3 NOTEs See '/tmp/th798/16169352/R-release/342/doremi.Rcheck/00check.log' for details. [1] "2025-03-28 00:59:45 MST" [1] "2025-03-28 00:59:45 MST" Installing package into '/tmp/th798/16169352/R-release/342/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/16169352/R-release/342/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-03-28 01:00:11 MST" * using log directory '/tmp/th798/16169352/R-release/342/doremi.Rcheck' * using R version 4.4.3 (2025-02-28) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'doremi/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'doremi' version '1.0.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'doremi' can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking 'build' directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... NOTE Problems with news in 'NEWS.md': Cannot extract version info from the following section titles: New features * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking loading without being on the library search path ... OK * checking dependencies in R code ... NOTE Namespace in Imports field not imported from: 'gridExtra' All declared Imports should be used. * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... NOTE checkRd: (-1) analyze.1order.Rd:49: Lost braces 49 | Although only the first derivative is used here, using a higher order can enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) analyze.2order.Rd:44: Lost braces 44 | 2 in second order differential equations), for instance, order=4 might enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) calculate.fda.Rd:29: Lost braces 29 | method described in several sources, such as in \doi{10.1007/b98888}{Ramsay et al. (2009)} | ^ checkRd: (-1) calculate.fda.Rd:30: Lost braces 30 | and \doi{10.1080/00273171.2015.1123138}{Chow et al. (2016)}. | ^ checkRd: (-1) calculate.glla.Rd:34: Lost braces 34 | described in \doi{10.4324/9780203864746}{Boker et al.(2010)}. | ^ checkRd: (-1) calculate.gold.Rd:33: Lost braces 33 | method described in \doi{10.1080/00273171.2010.498294}{Deboeck (2010)}. The code available on this paper was extracted and adapted for non constant time steps. | ^ checkRd: (-1) optimum_param.Rd:47: Lost braces 47 | Using a higher order can enhance derivative estimation (see \doi{10.1080/00273171.2015.1123138}{Chow et al.(2016)})} | ^ checkRd: (-1) rotation.Rd:37: Lost braces 37 | \doi{10.1016/j.yhbeh.2012.12.007}{(Courvoisier et al., 2013)}. | ^ * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking installed files from 'inst/doc' ... OK * checking files in 'vignettes' ... OK * checking examples ...sh: line 1: 2609941 Segmentation fault (core dumped) LANGUAGE=en _R_CHECK_INTERNALS2_=1 '/home/th798/R/R-release/bin/R' --vanilla > 'doremi-Ex.Rout' 2>&1 < 'doremi-Ex.R' ERROR Running examples in 'doremi-Ex.R' failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: analyze.1order > ### Title: DOREMI first order analysis function > ### Aliases: analyze.1order > ### Keywords: analysis exponential first-order > > ### ** Examples > > myresult <- analyze.1order(data = cardio, + id = "id", + input = "load", + time = "time", + signal = "hr", + dermethod ="gold", + derparam = 5) *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: 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58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 205L, 208L, 211L, 214L, 217L, 220L, 223L, 226L, 229L, 232L, 235L, 238L, 241L, 244L, 247L, 250L, 253L, 256L, 259L, 262L, 265L, 268L, 271L, 274L, 277L, 280L, 283L, 286L, 289L, 292L, 295L, 298L, 301L, 304L, 307L, 310L, 313L, 316L, 319L, 322L, 325L, 328L, 331L, 334L, 337L, 340L, 343L, 346L, 349L, 352L, 355L, 358L, 361L, 364L, 367L, 370L, 373L, 376L, 379L, 382L, 385L, 388L, 391L, 394L, 396L, 398L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 420L, 422L, 424L, 426L, 428L, 430L, 432L, 434L, 436L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 458L, 460L, 462L, 464L, 466L, 468L, 470L, 472L, 474L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 496L, 498L, 500L, 502L, 504L, 506L, 508L, 510L, 512L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 534L, 536L, 538L, 540L, 542L, 544L, 546L, 548L, 550L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 572L, 574L, 576L, 578L, 580L, 582L, 584L, 586L, 588L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 610L, 612L, 614L, 616L, 618L, 620L, 622L, 624L, 626L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 648L, 650L, 653L, 656L, 659L, 662L, 665L, 668L, 671L, 674L, 677L, 680L, 683L, 686L, 689L, 692L, 695L, 698L, 701L, 704L, 707L, 710L, 713L, 716L, 719L, 722L, 725L, 728L, 731L, 734L, 737L, 740L, 743L, 746L, 749L, 752L, 755L, 758L, 761L, 764L, 767L, 770L, 773L, 776L, 779L, 782L, 785L, 788L, 791L, 794L, 797L, 800L, 803L, 806L, 809L, 812L, 815L, 818L, 821L, 824L, 827L, 830L, 833L, 836L, 839L, 842L, 845L, 848L, 851L, 854L, 857L, 860L, 863L, 866L, 869L, 872L, 875L, 878L, 881L, 884L, 887L, 890L, 893L, 896L, 899L, 902L, 905L, 908L, 911L, 914L, 917L, 920L, 923L, 926L, 929L, 932L, 935L, 938L, 941L, 944L, 947L, 950L, 953L, 956L, 959L, 962L, 965L, 968L, 971L, 974L, 977L, 980L, 983L, 986L, 989L, 992L, 995L, 998L, 1001L, 1004L, 1007L, 1010L, 1013L, 1016L, 1019L, 1022L, 1025L, 1028L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1047L, 1049L, 1051L, 1053L, 1055L, 1057L, 1059L, 1061L, 1063L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1085L, 1087L, 1089L, 1091L, 1093L, 1096L, 1099L, 1102L, 1105L, 1108L, 1111L, 1114L, 1117L, 1120L, 1123L, 1126L, 1129L, 1132L, 1135L, 1138L, 1141L, 1144L, 1147L, 1150L, 1153L, 1156L, 1159L, 1162L, 1165L, 1168L, 1171L, 1174L, 1177L, 1180L, 1183L, 1186L, 1189L, 1192L, 1195L, 1198L, 1201L, 1204L, 1207L, 1210L, 1213L, 1216L, 1219L, 1222L, 1225L, 1228L, 1231L, 1234L, 1237L, 1240L, 1243L, 1245L, 1248L, 1251L, 1254L, 1257L, 1260L, 1263L, 1266L, 1269L, 1272L, 1275L, 1278L, 1281L, 1284L, 1287L, 1290L, 1293L, 1296L, 1299L, 1302L, 1305L, 1308L, 1311L, 1314L, 1317L, 1320L, 1323L, 1326L, 1329L, 1332L, 1335L, 1338L, 1341L, 1344L, 1347L, 1350L, 1353L, 1356L, 1359L, 1362L, 1365L, 1368L, 1371L, 1374L, 1377L, 1380L, 1383L, 1386L, 1389L, 1392L, 1395L, 1398L, 1401L, 1404L, 1407L, 1410L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1426L, 1429L, 1432L, 1435L, 1438L, 1441L, 1444L, 1447L, 1450L, 1453L, 1456L, 1459L, 1462L, 1465L, 1468L, 1471L, 1474L, 1477L, 1480L, 1483L, 1486L, 1489L, 1492L, 1495L, 1498L, 1501L, 1504L, 1507L, 1510L, 1513L, 1516L, 1519L, 1522L, 1525L, 1528L, 1531L, 1534L, 1537L, 1540L, 1543L, 1546L, 1549L, 1552L, 1555L, 1558L, 1561L, 1564L, 1567L, 1570L, 1573L, 1576L, 1579L, 1582L, 1585L, 1588L, 1591L, 1594L, 1597L, 1600L, 1603L, 1606L, 1609L, 1612L, 1615L, 1618L, 1621L, 1624L, 1627L, 1630L, 1633L, 1636L, 1639L, 1642L, 1645L, 1648L, 1651L, 1654L, 1657L, 1660L, 1663L, 1665L, 1667L, 1669L, 1672L, 1675L, 1678L, 1681L, 1684L, 1687L, 1690L, 1693L, 1696L, 1699L, 1702L, 1705L, 1708L, 1711L, 1714L, 1717L, 1720L, 1723L, 1726L, 1729L, 1732L, 1735L, 1738L, 1741L, 1744L, 1747L, 1750L, 1753L, 1756L, 1759L, 1762L, 1765L, 1768L, 1771L, 1774L, 1777L, 1780L, 1783L, 1786L, 1789L, 1792L, 1795L, 1798L, 1801L, 1804L, 1807L, 1810L, 1813L, 1816L, 1819L, 1822L, 1825L, 1828L, 1831L, 1834L, 1837L, 1840L, 1843L, 1846L, 1849L, 1852L, 1855L, 1858L, 1861L, 1864L, 1867L, 1870L, 1873L, 1876L, 1879L, 1882L, 1885L, 1888L, 1891L, 1894L, 1896L, 1898L, 1900L, 1903L, 1906L, 1909L, 1912L, 1915L, 1918L, 1921L, 1924L, 1927L, 1930L, 1933L, 1936L, 1939L, 1942L, 1945L, 1948L, 1951L, 1954L, 1957L, 1960L, 1963L, 1966L, 1969L, 1972L, 1975L, 1978L, 1981L, 1984L, 1987L, 1990L, 1993L, 1996L, 1999L, 2002L, 2005L, 2008L, 2011L, 2014L, 2017L, 2020L, 2023L, 2026L, 2029L, 2032L, 2035L, 2038L, 2041L, 2044L, 2047L, 2050L, 2053L, 2056L, 2059L, 2062L, 2065L, 2067L, 2069L, 2071L, 2074L, 2077L, 2080L, 2083L, 2086L, 2089L, 2092L, 2095L, 2098L, 2101L, 2104L, 2107L, 2110L, 2113L, 2116L, 2119L, 2122L, 2125L, 2128L, 2131L, 2134L, 2137L, 2140L, 2143L, 2146L, 2149L, 2152L, 2155L, 2158L, 2161L, 2164L, 2167L, 2170L, 2173L, 2176L, 2178L, 2180L, 2182L, 2184L, 2186L, 2188L, 2190L, 2192L, 2194L, 2196L, 2198L, 2200L, 2202L, 2204L, 2206L, 2208L, 2210L, 2212L, 2214L, 2216L, 2218L, 2220L, 2222L, 2224L, 2227L, 2230L, 2233L, 2236L, 2239L, 2242L, 2245L, 2248L, 2251L, 2254L, 2257L, 2260L, 2263L, 2266L, 2269L, 2272L, 2275L, 2278L, 2281L, 2284L, 2287L, 2290L, 2293L, 2296L, 2299L, 2302L, 2305L, 2308L, 2311L, 2314L, 2317L, 2320L, 2323L, 2326L, 2329L, 2332L, 2335L, 2338L, 2341L, 2344L, 2347L, 2350L, 2353L, 2356L, 2359L, 2362L, 2365L, 2368L, 2371L, 2374L, 2377L, 2380L, 2383L, 2386L, 2389L, 2392L, 2395L, 2398L, 2401L, 2404L, 2407L, 2410L, 2413L, 2416L, 2419L, 2422L, 2425L, 2428L, 2431L, 2434L, 2437L, 2440L, 2443L, 2446L, 2449L, 2452L, 2455L, 2458L, 2461L, 2464L, 2467L, 2470L, 2473L, 2476L, 2479L, 2482L, 2485L, 2488L, 2491L, 2494L, 2497L, 2500L, 2503L, 2506L, 2509L, 2512L, 2515L, 2518L, 2521L, 2524L, 2527L, 2530L, 2533L, 2536L, 2539L, 2542L, 2545L, 2548L, 2551L, 2554L, 2557L, 2560L, 2563L, 2566L, 2569L, 2572L, 2575L, 2578L, 2581L, 2584L, 2587L, 2590L, 2593L, 2596L, 2599L, 2602L, 2605L, 2608L, 2611L, 2614L, 2617L, 2620L, 2623L, 2626L, 2629L, 2632L, 2635L, 2638L, 2641L, 2644L, 2647L, 2650L, 2653L, 2656L, 2659L, 2662L, 2665L, 2668L, 2671L, 2674L, 2677L, 2680L, 2683L, 2686L, 2689L, 2692L, 2695L, 2698L, 2701L, 2704L, 2707L, 2710L, 2713L, 2716L, 2719L, 2722L, 2725L, 2728L, 2731L, 2734L, 2737L, 2740L, 2743L, 2746L, 2749L, 2752L, 2755L, 2758L, 2761L, 2764L, 2767L, 2770L, 2773L, 2776L, 2779L, 2782L, 2785L, 2788L, 2791L, 2794L, 2797L, 2800L, 2803L, 2806L, 2809L, 2812L, 2815L, 2818L, 2821L, 2824L, 2827L, 2830L, 2833L, 2836L, 2839L, 2842L, 2845L, 2848L, 2851L, 2854L, 2857L, 2860L, 2863L, 2866L, 2869L, 2872L, 2875L, 2878L, 2881L, 2884L, 2887L, 2890L, 2893L, 2896L, 2899L, 2902L, 2905L, 2908L, 2911L, 2914L, 2917L, 2920L, 2923L, 2926L, 2929L, 2932L, 2935L, 2938L, 2941L, 2944L, 2947L, 2950L, 2953L, 2956L, 2959L, 2962L, 2965L, 2967L, 2969L, 2971L, 2973L, 2975L, 2977L, 2979L, 2981L, 2983L, 2985L, 2987L, 2989L, 2991L, 2993L, 2995L, 2997L, 2999L, 3001L, 3003L, 3005L, 3007L, 3009L, 3011L, 3014L, 3017L, 3020L, 3023L, 3026L, 3029L, 3032L, 3035L, 3038L, 3041L, 3044L, 3047L, 3050L, 3053L, 3056L, 3059L, 3062L, 3065L, 3068L, 3071L, 3074L, 3077L, 3080L, 3083L, 3086L, 3089L, 3092L, 3095L, 3098L, 3101L, 3104L, 3107L, 3110L, 3113L, 3116L, 3119L, 3122L, 3125L, 3128L, 3131L, 3134L, 3137L, 3140L, 3143L, 3146L, 3149L, 3152L, 3155L, 3158L, 3161L, 3164L, 3167L, 3170L, 3173L, 3176L, 3179L, 3182L, 3185L, 3188L, 3191L, 3194L, 3197L, 3200L, 3203L, 3206L, 3209L, 3212L, 3215L, 3218L, 3221L, 3224L, 3227L, 3230L, 3233L, 3236L, 3239L, 3242L, 3245L, 3248L, 3251L, 3254L, 3257L, 3260L, 3263L, 3266L, 3269L, 3272L, 3275L, 3278L, 3281L, 3284L, 3287L, 3290L, 3293L, 3296L, 3299L, 3302L, 3305L, 3308L, 3311L, 3314L, 3317L, 3320L, 3323L, 3326L, 3329L, 3332L, 3335L, 3338L, 3341L, 3344L, 3347L, 3350L, 3353L, 3356L, 3359L, 3362L, 3365L, 3368L, 3371L, 3374L, 3377L, 3380L, 3383L, 3386L, 3389L, 3392L, 3395L, 3398L, 3401L, 3404L, 3407L, 3410L, 3413L, 3416L, 3419L, 3422L, 3425L, 3428L, 3431L, 3434L, 3437L, 3440L, 3443L, 3446L, 3449L, 3452L, 3454L, 3456L, 3459L, 3462L, 3465L, 3468L, 3471L, 3474L, 3477L, 3480L, 3483L, 3486L, 3489L, 3492L, 3495L, 3498L, 3501L, 3504L, 3507L, 3510L, 3513L, 3516L, 3519L, 3522L, 3525L, 3528L, 3531L, 3534L, 3537L, 3540L, 3543L, 3546L, 3549L, 3552L, 3555L, 3558L, 3561L, 3564L, 3567L, 3570L, 3573L, 3576L, 3579L, 3582L, 3585L, 3588L, 3591L, 3594L, 3597L, 3600L, 3603L, 3606L, 3609L, 3612L, 3615L, 3618L, 3621L, 3624L, 3627L, 3630L, 3633L, 3636L, 3639L, 3642L, 3645L, 3648L, 3651L, 3654L, 3657L, 3660L, 3663L, 3666L, 3669L, 3672L, 3675L, 3678L, 3681L, 3684L, 3687L, 3690L, 3693L, 3696L, 3699L, 3702L, 3705L, 3708L, 3711L, 3714L, 3717L, 3720L, 3723L, 3726L, 3729L, 3732L, 3735L, 3738L, 3741L, 3744L, 3747L, 3750L, 3753L, 3756L, 3759L, 3762L, 3765L, 3768L, 3771L, 3774L, 3777L, 3780L, 3783L, 3786L, 3789L, 3792L, 3795L, 3798L, 3801L, 3804L, 3807L, 3810L, 3813L, 3816L, 3819L, 3822L, 3825L, 3828L, 3831L, 3834L, 3837L, 3840L, 3843L, 3846L, 3849L, 3852L, 3855L, 3858L, 3861L, 3864L, 3867L, 3870L, 3873L, 3876L, 3879L, 3882L, 3885L, 3888L, 3891L, 3894L, 3897L, 3900L, 3903L, 3906L, 3909L, 3912L, 3915L, 3918L, 3921L, 3924L, 3927L, 3930L, 3933L, 3936L, 3939L, 3942L, 3945L, 3948L, 3951L, 3954L, 3957L, 3960L, 3963L, 3966L, 3969L, 3972L, 3974L, 3976L, 3978L, 3980L, 3982L, 3984L, 3986L, 3989L, 3992L, 3995L, 3998L, 4001L, 4004L, 4007L, 4010L, 4013L, 4016L, 4019L, 4022L, 4025L, 4028L, 4031L, 4034L, 4037L, 4040L, 4043L, 4046L, 4049L, 4052L, 4055L, 4058L, 4061L, 4064L, 4067L, 4070L, 4073L, 4076L, 4079L, 4082L, 4085L, 4088L, 4091L, 4094L, 4097L, 4100L, 4103L, 4106L, 4109L, 4112L, 4115L, 4118L, 4121L, 4124L, 4127L, 4130L, 4133L, 4136L, 4139L, 4142L, 4145L, 4148L, 4151L, 4154L, 4157L, 4160L, 4163L, 4166L, 4169L, 4172L, 4175L, 4178L, 4181L, 4184L, 4187L, 4190L, 4193L, 4196L, 4199L, 4202L, 4205L, 4208L, 4211L, 4214L, 4217L, 4220L, 4223L, 4226L, 4229L, 4232L, 4235L, 4238L, 4241L, 4244L, 4247L, 4250L, 4253L, 4256L, 4259L, 4262L, 4265L, 4267L, 4269L, 4271L, 4273L, 4275L, 4277L, 4279L, 4281L, 4283L, 4285L, 4287L, 4289L, 4291L, 4293L, 4295L, 4297L, 4299L, 4301L, 4304L, 4307L, 4310L, 4313L, 4316L, 4319L, 4322L, 4325L, 4328L, 4331L, 4334L, 4337L, 4340L, 4343L, 4346L, 4349L, 4352L, 4355L, 4358L, 4361L, 4364L, 4367L, 4370L, 4373L, 4376L, 4379L, 4382L, 4385L, 4388L, 4391L, 4394L, 4397L, 4400L, 4403L, 4406L, 4409L, 4412L, 4415L, 4418L, 4421L, 4424L, 4427L, 4430L, 4433L, 4436L, 4439L, 4442L, 4445L, 4448L, 4451L, 4454L, 4457L, 4460L, 4463L, 4466L, 4469L, 4472L, 4475L, 4478L, 4481L, 4484L, 4487L, 4490L, 4493L, 4496L, 4499L, 4502L, 4505L, 4508L, 4511L, 4514L, 4517L, 4520L, 4523L, 4526L), Dim = c(63L, 1602L), Dimnames = list(c("1", "1", "1", "2", "2", "2", "3", "3", "3", "4", "4", "4", "5", "5", "5", "6", "6", "6", "7", "7", "7", "8", "8", "8", "9", "9", "9", "10", "10", "10", "11", "11", "11", "12", "12", "12", "13", "13", "13", "14", "14", "14", "15", "15", "15", "16", "16", "16", "17", "17", "17", "18", "18", "18", "19", "19", "19", "20", "20", "20", "21", "21", "21"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "201", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902", "903", "904", "905", "906", "907", "908", "909", "910", "911", "912", "913", "914", "915", "916", "917", "918", "919", "920", "921", "922", "923", "924", "925", "926", "927", "928", "929", "930", "931", "932", "933", "934", "935", "936", "937", "938", "939", "940", "941", "942", "943", "944", "945", "946", "947", "948", "949", "950", "951", "952", "953", "954", "955", "956", "957", "958", "959", "960", "961", "962", "963", "968", "969", "970", "971", "972", "973", "974", "975", "976", "977", "978", "979", "980", "981", "982", "983", "984", "985", "986", "987", "988", "989", "990", "991", "992", "993", "994", "995", "996", "997", "998", "999", "1000", "1001", "1002", "1003", "1004", "1005", "1006", "1007", "1008", "1009", "1010", "1011", "1012", "1013", "1014", "1015", "1016", "1017", "1018", "1019", "1020", "1021", "1022", "1023", "1024", "1025", "1026", "1027", "1028", "1029", "1030", "1031", "1032", "1033", "1034", "1035", "1036", "1037", "1038", "1039", "1040", "1041", "1042", "1047", "1048", "1049", "1050", "1051", "1052", "1053", "1054", "1055", "1056", "1057", "1058", "1059", "1060", "1061", "1062", "1063", "1064", "1065", "1066", "1067", "1068", "1069", "1070", "1071", "1072", "1073", "1074", "1075", "1076", "1077", "1078", "1079", "1080", "1081", "1082", "1083", "1084", "1085", "1086", "1087", "1088", "1089", "1090", "1091", "1092", "1093", "1094", "1095", "1096", "1097", "1098", "1099", "1100", "1101", "1102", "1103", "1104", "1105", "1106", "1107", "1108", "1109", "1110", "1111", "1112", "1113", "1114", "1115", "1116", "1117", "1122", "1123", "1124", "1125", "1126", "1127", "1128", "1129", "1130", "1131", "1132", "1133", "1134", "1135", "1136", "1137", "1138", "1139", "1140", "1141", "1142", "1143", "1144", "1145", "1146", "1147", "1148", "1149", "1150", "1151", "1152", "1153", "1154", "1155", "1156", "1157", "1158", "1159", "1160", "1161", "1162", "1163", "1164", "1165", "1166", "1167", "1168", "1169", "1170", "1171", "1172", "1173", "1174", "1175", "1176", "1177", "1178", "1179", "1180", "1181", "1182", "1183", "1184", "1185", "1186", "1187", "1188", "1189", "1190", "1191", "1192", "1193", "1194", "1195", "1196", "1197", "1198", "1199", "1200", "1201", "1202", "1203", "1204", "1205", "1206", "1207", "1208", "1209", "1210", "1211", "1212", "1217", "1218", "1219", "1220", "1221", "1222", "1223", "1224", "1225", "1226", "1227", "1228", "1229", "1230", "1231", "1232", "1233", "1234", "1235", "1236", "1237", "1238", "1239", "1240", "1241", "1242", "1243", "1244", "1245", "1246", "1247", "1248", "1249", "1250", "1251", "1252", "1253", "1254", "1255", "1256", "1257", "1258", "1259", "1260", "1261", "1262", "1263", "1264", "1265", "1266", "1267", "1268", "1269", "1270", "1271", "1272", "1273", "1274", "1275", "1276", "1277", "1278", "1279", "1280", "1281", "1282", "1283", "1284", "1285", "1286", "1287", "1288", "1289", "1290", "1291", "1292", "1293", "1294", "1295", "1300", "1301", "1302", "1303", "1304", "1305", "1306", "1307", "1308", "1309", "1310", "1311", "1312", "1313", "1314", "1315", "1316", "1317", "1318", "1319", "1320", "1321", "1322", "1323", "1324", "1325", "1326", "1327", "1328", "1329", "1330", "1331", "1332", "1333", "1334", "1335", "1336", "1337", "1338", "1339", "1340", "1341", "1342", "1343", "1344", "1345", "1346", "1347", "1348", "1349", "1350", "1351", "1352", "1353", "1358", "1359", "1360", "1361", "1362", "1363", "1364", "1365", "1366", "1367", "1368", "1369", "1370", "1371", "1372", "1373", "1374", "1375", "1376", "1377", "1378", "1379", "1380", "1381", "1382", "1383", "1384", "1385", "1386", "1387", "1388", "1389", "1390", "1391", "1392", "1393", "1394", "1395", "1396", "1397", "1398", "1399", "1400", "1401", "1402", "1403", "1404", "1405", "1406", "1407", "1412", "1413", "1414", "1415", "1416", "1417", "1418", "1419", "1420", "1421", "1422", "1423", "1424", "1425", "1426", "1427", "1428", "1429", "1430", "1431", "1432", "1433", "1434", "1435", "1436", "1437", "1438", "1439", "1440", "1441", "1442", "1443", "1444", "1445", "1446", "1447", "1448", "1449", "1450", "1451", "1452", "1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682")), x = c(1, 40, 120.2, 1, 50, 121.6, 1, 50, 122.4, 1, 50, 123, 1, 55, 124.2, 1, 60, 125, 1, 65, 125.6, 1, 70, 127.2, 1, 75, 129, 1, 75, 130.6, 1, 75, 131.2, 1, 75, 132.4, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136.6, 1, 75, 139.8, 1, 80, 142.4, 1, 85, 144.4, 1, 75, 145.8, 1, 65, 146.4, 1, 55, 145.8, 1, 40, 144.2, 1, 25, 141.2, 1, 25, 137, 1, 25, 132.2, 1, 25, 127.8, 1, 25, 123.2, 1, 25, 119.8, 1, 25, 117, 1, 25, 115.4, 1, 25, 115, 1, 25, 114.6, 1, 25, 114.4, 1, 25, 115, 1, 25, 115.2, 1, 25, 114.8, 1, 25, 114.8, 1, 25, 115.6, 1, 25, 116.6, 1, 25, 117, 1, 25, 116.2, 1, 25, 114.8, 1, 25, 113, 1, 25, 110.4, 1, 25, 108.4, 1, 25, 108.2, 1, 72, 1, 72, 1, 71.6, 1, 72, 1, 72.4, 1, 72.6, 1, 72.8, 1, 73, 1, 72.8, 1, 72.8, 1, 73.2, 1, 73.4, 1, 73, 1, 73, 1, 73.2, 1, 72.6, 1, 71.6, 1, 71, 1, 70.6, 1, 70.6, 1, 70.8, 1, 71.4, 1, 72.4, 1, 73, 1, 72.6, 1, 72.8, 1, 72.6, 1, 72.4, 1, 72.6, 1, 73.2, 1, 73.4, 1, 73.8, 1, 10, 73.8, 1, 20, 74.2, 1, 30, 75.2, 1, 40, 76.6, 1, 50, 78.8, 1, 50, 81.4, 1, 50, 83.8, 1, 50, 85.8, 1, 50, 87.8, 1, 50, 89.6, 1, 50, 90.8, 1, 50, 91.4, 1, 55, 91.6, 1, 60, 91.4, 1, 65, 91.4, 1, 70, 92, 1, 75, 93.4, 1, 75, 95.2, 1, 75, 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160.4, 1, 25, 155.8, 1, 25, 151, 1, 25, 146.6, 1, 25, 142.4, 1, 25, 139.2, 1, 25, 136.6, 1, 25, 134, 1, 25, 131.6, 1, 25, 128.8, 1, 25, 125.8, 1, 25, 122.8, 1, 25, 119.8, 1, 25, 116.6, 1, 25, 115.6, 1, 25, 112.6, 1, 25, 110.2, 1, 25, 108.8, 1, 25, 107, 1, 25, 103.8, 1, 25, 102, 1, 25, 98, 1, 25, 90.2, 1, 25, 84.6, 1, 25, 77.8, 1, 25, 70.4, 1, 25, 70.2, 1, 79.6, 1, 78.8, 1, 10, 79.2, 1, 20, 81.2, 1, 30, 83.4, 1, 40, 85.2, 1, 50, 87.8, 1, 50, 91, 1, 50, 92.8, 1, 50, 94.8, 1, 50, 96.2, 1, 50, 97.6, 1, 50, 97.6, 1, 50, 97.2, 1, 55, 97.2, 1, 60, 98, 1, 65, 99, 1, 70, 100.4, 1, 75, 101.4, 1, 75, 102.2, 1, 75, 102.4, 1, 75, 102.2, 1, 75, 102.6, 1, 75, 104, 1, 75, 105.2, 1, 75, 107.2, 1, 80, 109.2, 1, 85, 111, 1, 90, 112, 1, 95, 113.6, 1, 100, 116.6, 1, 85, 117.2, 1, 70, 115, 1, 55, 112.6, 1, 40, 107.6, 1, 25, 101.2, 1, 25, 94.8, 1, 25, 90.2, 1, 25, 86.4, 1, 25, 85.2, 1, 25, 82, 1, 25, 83.2, 1, 25, 84.4, 1, 25, 82.4, 1, 25, 80.6, 1, 25, 79.2, 1, 25, 77.6, 1, 25, 76.8, 1, 25, 76.4, 1, 25, 75.8, 1, 25, 76.8, 1, 25, 77, 1, 25, 77.4, 1, 25, 79.6, 1, 20, 63.2, 1, 30, 66.6, 1, 40, 70.2, 1, 50, 76, 1, 50, 80.6, 1, 50, 85.6, 1, 50, 86.8, 1, 50, 88.2, 1, 50, 88.6, 1, 50, 90.4, 1, 50, 91.4, 1, 55, 93.8, 1, 60, 95, 1, 65, 96.6, 1, 70, 98, 1, 75, 100, 1, 75, 100.8, 1, 75, 102.6, 1, 75, 104, 1, 75, 104.4, 1, 75, 105, 1, 75, 105.8, 1, 75, 105.8, 1, 80, 105.8, 1, 85, 106.2, 1, 90, 106.6, 1, 95, 107.8, 1, 100, 109, 1, 100, 110.4, 1, 100, 112, 1, 100, 113.6, 1, 100, 115.2, 1, 85, 117.2, 1, 70, 116.8, 1, 55, 114.4, 1, 40, 111, 1, 25, 106.8, 1, 25, 100.4, 1, 25, 96, 1, 25, 93, 1, 25, 90.8, 1, 25, 87.4, 1, 25, 85, 1, 25, 82.2, 1, 25, 79.2, 1, 25, 75.8, 1, 25, 74, 1, 25, 73, 1, 25, 71.8, 1, 25, 71, 1, 20, 87.2, 1, 30, 89.6, 1, 40, 92, 1, 50, 96, 1, 50, 99.8, 1, 50, 101.8, 1, 50, 104.2, 1, 50, 106.6, 1, 50, 108, 1, 50, 108.6, 1, 55, 108.8, 1, 60, 108.8, 1, 65, 108.6, 1, 70, 109.4, 1, 75, 110.4, 1, 75, 111.2, 1, 75, 112.6, 1, 75, 114.6, 1, 75, 115.8, 1, 75, 117, 1, 75, 117.8, 1, 75, 118.6, 1, 80, 119.4, 1, 85, 119.8, 1, 90, 120.8, 1, 95, 122.2, 1, 100, 123.4, 1, 100, 124.6, 1, 100, 125.8, 1, 100, 126.8, 1, 100, 128.6, 1, 100, 130.4, 1, 100, 131.4, 1, 100, 126.2, 1, 105, 127.6, 1, 110, 128.6, 1, 115, 129, 1, 120, 129.8, 1, 125, 137, 1, 125, 137.6, 1, 125, 138.2, 1, 125, 139.8, 1, 125, 141.6, 1, 125, 143.6, 1, 125, 145.6, 1, 125, 147.6, 1, 130, 148.8, 1, 135, 150, 1, 140, 150.8, 1, 145, 151.6, 1, 150, 152.2, 1, 150, 153.6, 1, 150, 154.8, 1, 125, 156.2, 1, 100, 157.6, 1, 75, 158.4, 1, 50, 158.2, 1, 25, 157, 1, 25, 154.4, 1, 25, 151, 1, 25, 147.2, 1, 25, 142.2, 1, 25, 137.8, 1, 25, 133.4, 1, 25, 129.2, 1, 25, 125.4, 1, 20, 122.8, 1, 15, 119.2, 1, 10, 116, 1, 5, 113.4, 1, 110.6, 1, 108.2, 1, 105.6, 1, 103.8, 1, 101.8, 1, 99.8, 1, 97.8, 1, 30, 90.8, 1, 40, 92.2, 1, 50, 94.2, 1, 50, 96.4, 1, 50, 98.4, 1, 50, 99.2, 1, 50, 100.2, 1, 50, 101, 1, 50, 100.8, 1, 50, 101.8, 1, 55, 102.8, 1, 60, 103.4, 1, 65, 104.4, 1, 70, 106.2, 1, 75, 106.8, 1, 75, 107.2, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.8, 1, 75, 108.4, 1, 75, 109.2, 1, 80, 109.8, 1, 85, 111.2, 1, 90, 112.6, 1, 95, 113.4, 1, 100, 114, 1, 100, 114.6, 1, 100, 114.4, 1, 100, 113.8, 1, 100, 114, 1, 100, 114, 1, 100, 114.4, 1, 100, 115.2, 1, 105, 116, 1, 110, 116.6, 1, 115, 117.6, 1, 120, 118.4, 1, 125, 118.8, 1, 125, 119.2, 1, 125, 119.6, 1, 125, 119.6, 1, 125, 119.4, 1, 125, 119.4, 1, 125, 119.8, 1, 125, 120, 1, 131, 120.4, 1, 137, 121, 1, 143, 121.2, 1, 149, 121.4, 1, 155, 121.6, 1, 155, 122, 1, 155, 122.2, 1, 155, 122.8, 1, 155, 123.2, 1, 155, 123.4, 1, 155, 123.8, 1, 155, 124.2, 1, 161, 124.6, 1, 167, 125.2, 1, 173, 126.2, 1, 179, 126.8, 1, 185, 127.4, 1, 185, 128, 1, 185, 128.6, 1, 185, 129.2, 1, 185, 130.2, 1, 185, 131.4, 1, 185, 132.2, 1, 153, 133, 1, 121, 133.4, 1, 89, 132.8, 1, 57, 131.8, 1, 25, 130.4, 1, 25, 128.2, 1, 25, 125.8, 1, 25, 123.8, 1, 25, 121.8, 1, 25, 120, 1, 25, 119, 1, 25, 118, 1, 25, 117, 1, 25, 115.8, 1, 25, 114.8, 1, 25, 113.4, 1, 25, 112.2, 1, 25, 111.2, 1, 25, 110.4, 1, 25, 110, 1, 20, 109.6, 1, 15, 109.4, 1, 10, 109.2, 1, 5, 109, 1, 108.4, 1, 107.8, 1, 107, 1, 106.2, 1, 105.4, 1, 104.6, 1, 104.4, 1, 104.2, 1, 104, 1, 103.6, 1, 102.4, 1, 102.6, 1, 102.8, 1, 102.8, 1, 103.2, 1, 104.6, 1, 105.8, 1, 106.4, 1, 10, 87.6, 1, 20, 88.2, 1, 30, 90.2, 1, 40, 93.6, 1, 50, 96.6, 1, 50, 101.6, 1, 50, 106.2, 1, 50, 108.8, 1, 50, 111.4, 1, 50, 113.2, 1, 50, 113.8, 1, 55, 115.4, 1, 60, 117.2, 1, 65, 119.2, 1, 70, 122.6, 1, 75, 126, 1, 75, 128.8, 1, 75, 131.6, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136, 1, 75, 137.2, 1, 75, 137.8, 1, 80, 138.4, 1, 85, 140, 1, 90, 141.8, 1, 95, 142.8, 1, 100, 145.2, 1, 97, 147, 1, 94, 147.6, 1, 91, 148.8, 1, 88, 150.6, 1, 85, 151.2, 1, 85, 153.2, 1, 85, 155.2, 1, 90, 156.4, 1, 78, 157.8, 1, 66, 159.8, 1, 54, 160.6, 1, 42, 159.4, 1, 25, 156.8, 1, 25, 152.4, 1, 25, 147.4, 1, 25, 143, 1, 25, 139.2, 1, 25, 136.4, 1, 25, 134.8, 1, 25, 133.8, 1, 25, 132.8, 1, 25, 132.6, 1, 25, 132.8, 1, 25, 131.6, 1, 25, 130.2, 1, 25, 129, 1, 25, 128.2, 1, 25, 126.4, 1, 25, 125.8, 1, 25, 126.2, 1, 25, 124.6, 1, 25, 123.2, 1, 25, 122.2, 1, 25, 122.2, 1, 25, 121.4, 1, 25, 122.2, 1, 25, 123.6, 1, 25, 124.6, 1, 25, 124.4, 1, 25, 123.2, 1, 25, 122.4, 1, 25, 120.6, 1, 25, 119, 1, 25, 119, 1, 25, 119.4, 1, 25, 119.2, 1, 25, 119.4), factors = list()), theta = c(1, 0, 0, 1, 0, 1), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 8L, 9L, 9L, 10L, 9L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 14L, 15L, 15L, 16L, 15L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 20L, 21L, 21L, 22L, 21L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 26L, 27L, 27L, 28L, 27L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 32L, 33L, 33L, 34L, 33L, 34L, 35L, 36L, 36L, 37L, 36L, 37L, 38L, 39L, 39L, 40L, 39L, 40L, 41L, 42L, 42L, 43L, 42L, 43L, 44L, 45L, 45L, 46L, 45L, 46L, 47L, 48L, 48L, 49L, 48L, 49L, 50L, 51L, 51L, 52L, 51L, 52L, 53L, 54L, 54L, 55L, 54L, 55L, 56L, 57L, 57L, 58L, 57L, 58L, 59L, 60L, 60L, 61L, 60L, 61L, 62L), p = c(0L, 1L, 3L, 6L, 7L, 9L, 12L, 13L, 15L, 18L, 19L, 21L, 24L, 25L, 27L, 30L, 31L, 33L, 36L, 37L, 39L, 42L, 43L, 45L, 48L, 49L, 51L, 54L, 55L, 57L, 60L, 61L, 63L, 66L, 67L, 69L, 72L, 73L, 75L, 78L, 79L, 81L, 84L, 85L, 87L, 90L, 91L, 93L, 96L, 97L, 99L, 102L, 103L, 105L, 108L, 109L, 111L, 114L, 115L, 117L, 120L, 121L, 123L, 126L), Dim = c(63L, 63L), Dimnames = list( NULL, NULL), x = c(1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1), factors = list()), Lind = c(1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L), n = 1602L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(signal_derivate1 = c(0.0900000000000003, 0.12, 0.0700000000000003, 0.11, 0.0800000000000001, 0.0500000000000003, 0.11, 0.140000000000001, 0.21, 0.22, 0.0499999999999998, 0.0100000000000002, 0.0599999999999996, 0.2, 0.34, 0.279999999999999, 0.25, 0.179999999999999, 0.0972328977709456, 0.0190350546551086, -0.106345475910693, -0.209335507541786, -0.381852953676158, 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55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 57L, 59L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 205L, 208L, 211L, 214L, 217L, 220L, 223L, 226L, 229L, 232L, 235L, 238L, 241L, 244L, 247L, 250L, 253L, 256L, 259L, 262L, 265L, 268L, 271L, 274L, 277L, 280L, 283L, 286L, 289L, 292L, 295L, 298L, 301L, 304L, 307L, 310L, 313L, 316L, 319L, 322L, 325L, 328L, 331L, 334L, 337L, 340L, 343L, 346L, 349L, 352L, 355L, 358L, 361L, 364L, 367L, 370L, 373L, 376L, 379L, 382L, 385L, 388L, 391L, 394L, 396L, 398L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 420L, 422L, 424L, 426L, 428L, 430L, 432L, 434L, 436L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 458L, 460L, 462L, 464L, 466L, 468L, 470L, 472L, 474L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 496L, 498L, 500L, 502L, 504L, 506L, 508L, 510L, 512L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 534L, 536L, 538L, 540L, 542L, 544L, 546L, 548L, 550L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 572L, 574L, 576L, 578L, 580L, 582L, 584L, 586L, 588L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 610L, 612L, 614L, 616L, 618L, 620L, 622L, 624L, 626L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 648L, 650L, 653L, 656L, 659L, 662L, 665L, 668L, 671L, 674L, 677L, 680L, 683L, 686L, 689L, 692L, 695L, 698L, 701L, 704L, 707L, 710L, 713L, 716L, 719L, 722L, 725L, 728L, 731L, 734L, 737L, 740L, 743L, 746L, 749L, 752L, 755L, 758L, 761L, 764L, 767L, 770L, 773L, 776L, 779L, 782L, 785L, 788L, 791L, 794L, 797L, 800L, 803L, 806L, 809L, 812L, 815L, 818L, 821L, 824L, 827L, 830L, 833L, 836L, 839L, 842L, 845L, 848L, 851L, 854L, 857L, 860L, 863L, 866L, 869L, 872L, 875L, 878L, 881L, 884L, 887L, 890L, 893L, 896L, 899L, 902L, 905L, 908L, 911L, 914L, 917L, 920L, 923L, 926L, 929L, 932L, 935L, 938L, 941L, 944L, 947L, 950L, 953L, 956L, 959L, 962L, 965L, 968L, 971L, 974L, 977L, 980L, 983L, 986L, 989L, 992L, 995L, 998L, 1001L, 1004L, 1007L, 1010L, 1013L, 1016L, 1019L, 1022L, 1025L, 1028L, 1031L, 1033L, 1035L, 1037L, 1039L, 1041L, 1043L, 1045L, 1047L, 1049L, 1051L, 1053L, 1055L, 1057L, 1059L, 1061L, 1063L, 1065L, 1067L, 1069L, 1071L, 1073L, 1075L, 1077L, 1079L, 1081L, 1083L, 1085L, 1087L, 1089L, 1091L, 1093L, 1096L, 1099L, 1102L, 1105L, 1108L, 1111L, 1114L, 1117L, 1120L, 1123L, 1126L, 1129L, 1132L, 1135L, 1138L, 1141L, 1144L, 1147L, 1150L, 1153L, 1156L, 1159L, 1162L, 1165L, 1168L, 1171L, 1174L, 1177L, 1180L, 1183L, 1186L, 1189L, 1192L, 1195L, 1198L, 1201L, 1204L, 1207L, 1210L, 1213L, 1216L, 1219L, 1222L, 1225L, 1228L, 1231L, 1234L, 1237L, 1240L, 1243L, 1245L, 1248L, 1251L, 1254L, 1257L, 1260L, 1263L, 1266L, 1269L, 1272L, 1275L, 1278L, 1281L, 1284L, 1287L, 1290L, 1293L, 1296L, 1299L, 1302L, 1305L, 1308L, 1311L, 1314L, 1317L, 1320L, 1323L, 1326L, 1329L, 1332L, 1335L, 1338L, 1341L, 1344L, 1347L, 1350L, 1353L, 1356L, 1359L, 1362L, 1365L, 1368L, 1371L, 1374L, 1377L, 1380L, 1383L, 1386L, 1389L, 1392L, 1395L, 1398L, 1401L, 1404L, 1407L, 1410L, 1413L, 1415L, 1417L, 1419L, 1421L, 1423L, 1426L, 1429L, 1432L, 1435L, 1438L, 1441L, 1444L, 1447L, 1450L, 1453L, 1456L, 1459L, 1462L, 1465L, 1468L, 1471L, 1474L, 1477L, 1480L, 1483L, 1486L, 1489L, 1492L, 1495L, 1498L, 1501L, 1504L, 1507L, 1510L, 1513L, 1516L, 1519L, 1522L, 1525L, 1528L, 1531L, 1534L, 1537L, 1540L, 1543L, 1546L, 1549L, 1552L, 1555L, 1558L, 1561L, 1564L, 1567L, 1570L, 1573L, 1576L, 1579L, 1582L, 1585L, 1588L, 1591L, 1594L, 1597L, 1600L, 1603L, 1606L, 1609L, 1612L, 1615L, 1618L, 1621L, 1624L, 1627L, 1630L, 1633L, 1636L, 1639L, 1642L, 1645L, 1648L, 1651L, 1654L, 1657L, 1660L, 1663L, 1665L, 1667L, 1669L, 1672L, 1675L, 1678L, 1681L, 1684L, 1687L, 1690L, 1693L, 1696L, 1699L, 1702L, 1705L, 1708L, 1711L, 1714L, 1717L, 1720L, 1723L, 1726L, 1729L, 1732L, 1735L, 1738L, 1741L, 1744L, 1747L, 1750L, 1753L, 1756L, 1759L, 1762L, 1765L, 1768L, 1771L, 1774L, 1777L, 1780L, 1783L, 1786L, 1789L, 1792L, 1795L, 1798L, 1801L, 1804L, 1807L, 1810L, 1813L, 1816L, 1819L, 1822L, 1825L, 1828L, 1831L, 1834L, 1837L, 1840L, 1843L, 1846L, 1849L, 1852L, 1855L, 1858L, 1861L, 1864L, 1867L, 1870L, 1873L, 1876L, 1879L, 1882L, 1885L, 1888L, 1891L, 1894L, 1896L, 1898L, 1900L, 1903L, 1906L, 1909L, 1912L, 1915L, 1918L, 1921L, 1924L, 1927L, 1930L, 1933L, 1936L, 1939L, 1942L, 1945L, 1948L, 1951L, 1954L, 1957L, 1960L, 1963L, 1966L, 1969L, 1972L, 1975L, 1978L, 1981L, 1984L, 1987L, 1990L, 1993L, 1996L, 1999L, 2002L, 2005L, 2008L, 2011L, 2014L, 2017L, 2020L, 2023L, 2026L, 2029L, 2032L, 2035L, 2038L, 2041L, 2044L, 2047L, 2050L, 2053L, 2056L, 2059L, 2062L, 2065L, 2067L, 2069L, 2071L, 2074L, 2077L, 2080L, 2083L, 2086L, 2089L, 2092L, 2095L, 2098L, 2101L, 2104L, 2107L, 2110L, 2113L, 2116L, 2119L, 2122L, 2125L, 2128L, 2131L, 2134L, 2137L, 2140L, 2143L, 2146L, 2149L, 2152L, 2155L, 2158L, 2161L, 2164L, 2167L, 2170L, 2173L, 2176L, 2178L, 2180L, 2182L, 2184L, 2186L, 2188L, 2190L, 2192L, 2194L, 2196L, 2198L, 2200L, 2202L, 2204L, 2206L, 2208L, 2210L, 2212L, 2214L, 2216L, 2218L, 2220L, 2222L, 2224L, 2227L, 2230L, 2233L, 2236L, 2239L, 2242L, 2245L, 2248L, 2251L, 2254L, 2257L, 2260L, 2263L, 2266L, 2269L, 2272L, 2275L, 2278L, 2281L, 2284L, 2287L, 2290L, 2293L, 2296L, 2299L, 2302L, 2305L, 2308L, 2311L, 2314L, 2317L, 2320L, 2323L, 2326L, 2329L, 2332L, 2335L, 2338L, 2341L, 2344L, 2347L, 2350L, 2353L, 2356L, 2359L, 2362L, 2365L, 2368L, 2371L, 2374L, 2377L, 2380L, 2383L, 2386L, 2389L, 2392L, 2395L, 2398L, 2401L, 2404L, 2407L, 2410L, 2413L, 2416L, 2419L, 2422L, 2425L, 2428L, 2431L, 2434L, 2437L, 2440L, 2443L, 2446L, 2449L, 2452L, 2455L, 2458L, 2461L, 2464L, 2467L, 2470L, 2473L, 2476L, 2479L, 2482L, 2485L, 2488L, 2491L, 2494L, 2497L, 2500L, 2503L, 2506L, 2509L, 2512L, 2515L, 2518L, 2521L, 2524L, 2527L, 2530L, 2533L, 2536L, 2539L, 2542L, 2545L, 2548L, 2551L, 2554L, 2557L, 2560L, 2563L, 2566L, 2569L, 2572L, 2575L, 2578L, 2581L, 2584L, 2587L, 2590L, 2593L, 2596L, 2599L, 2602L, 2605L, 2608L, 2611L, 2614L, 2617L, 2620L, 2623L, 2626L, 2629L, 2632L, 2635L, 2638L, 2641L, 2644L, 2647L, 2650L, 2653L, 2656L, 2659L, 2662L, 2665L, 2668L, 2671L, 2674L, 2677L, 2680L, 2683L, 2686L, 2689L, 2692L, 2695L, 2698L, 2701L, 2704L, 2707L, 2710L, 2713L, 2716L, 2719L, 2722L, 2725L, 2728L, 2731L, 2734L, 2737L, 2740L, 2743L, 2746L, 2749L, 2752L, 2755L, 2758L, 2761L, 2764L, 2767L, 2770L, 2773L, 2776L, 2779L, 2782L, 2785L, 2788L, 2791L, 2794L, 2797L, 2800L, 2803L, 2806L, 2809L, 2812L, 2815L, 2818L, 2821L, 2824L, 2827L, 2830L, 2833L, 2836L, 2839L, 2842L, 2845L, 2848L, 2851L, 2854L, 2857L, 2860L, 2863L, 2866L, 2869L, 2872L, 2875L, 2878L, 2881L, 2884L, 2887L, 2890L, 2893L, 2896L, 2899L, 2902L, 2905L, 2908L, 2911L, 2914L, 2917L, 2920L, 2923L, 2926L, 2929L, 2932L, 2935L, 2938L, 2941L, 2944L, 2947L, 2950L, 2953L, 2956L, 2959L, 2962L, 2965L, 2967L, 2969L, 2971L, 2973L, 2975L, 2977L, 2979L, 2981L, 2983L, 2985L, 2987L, 2989L, 2991L, 2993L, 2995L, 2997L, 2999L, 3001L, 3003L, 3005L, 3007L, 3009L, 3011L, 3014L, 3017L, 3020L, 3023L, 3026L, 3029L, 3032L, 3035L, 3038L, 3041L, 3044L, 3047L, 3050L, 3053L, 3056L, 3059L, 3062L, 3065L, 3068L, 3071L, 3074L, 3077L, 3080L, 3083L, 3086L, 3089L, 3092L, 3095L, 3098L, 3101L, 3104L, 3107L, 3110L, 3113L, 3116L, 3119L, 3122L, 3125L, 3128L, 3131L, 3134L, 3137L, 3140L, 3143L, 3146L, 3149L, 3152L, 3155L, 3158L, 3161L, 3164L, 3167L, 3170L, 3173L, 3176L, 3179L, 3182L, 3185L, 3188L, 3191L, 3194L, 3197L, 3200L, 3203L, 3206L, 3209L, 3212L, 3215L, 3218L, 3221L, 3224L, 3227L, 3230L, 3233L, 3236L, 3239L, 3242L, 3245L, 3248L, 3251L, 3254L, 3257L, 3260L, 3263L, 3266L, 3269L, 3272L, 3275L, 3278L, 3281L, 3284L, 3287L, 3290L, 3293L, 3296L, 3299L, 3302L, 3305L, 3308L, 3311L, 3314L, 3317L, 3320L, 3323L, 3326L, 3329L, 3332L, 3335L, 3338L, 3341L, 3344L, 3347L, 3350L, 3353L, 3356L, 3359L, 3362L, 3365L, 3368L, 3371L, 3374L, 3377L, 3380L, 3383L, 3386L, 3389L, 3392L, 3395L, 3398L, 3401L, 3404L, 3407L, 3410L, 3413L, 3416L, 3419L, 3422L, 3425L, 3428L, 3431L, 3434L, 3437L, 3440L, 3443L, 3446L, 3449L, 3452L, 3454L, 3456L, 3459L, 3462L, 3465L, 3468L, 3471L, 3474L, 3477L, 3480L, 3483L, 3486L, 3489L, 3492L, 3495L, 3498L, 3501L, 3504L, 3507L, 3510L, 3513L, 3516L, 3519L, 3522L, 3525L, 3528L, 3531L, 3534L, 3537L, 3540L, 3543L, 3546L, 3549L, 3552L, 3555L, 3558L, 3561L, 3564L, 3567L, 3570L, 3573L, 3576L, 3579L, 3582L, 3585L, 3588L, 3591L, 3594L, 3597L, 3600L, 3603L, 3606L, 3609L, 3612L, 3615L, 3618L, 3621L, 3624L, 3627L, 3630L, 3633L, 3636L, 3639L, 3642L, 3645L, 3648L, 3651L, 3654L, 3657L, 3660L, 3663L, 3666L, 3669L, 3672L, 3675L, 3678L, 3681L, 3684L, 3687L, 3690L, 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"1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682")), x = c(1, 40, 120.2, 1, 50, 121.6, 1, 50, 122.4, 1, 50, 123, 1, 55, 124.2, 1, 60, 125, 1, 65, 125.6, 1, 70, 127.2, 1, 75, 129, 1, 75, 130.6, 1, 75, 131.2, 1, 75, 132.4, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136.6, 1, 75, 139.8, 1, 80, 142.4, 1, 85, 144.4, 1, 75, 145.8, 1, 65, 146.4, 1, 55, 145.8, 1, 40, 144.2, 1, 25, 141.2, 1, 25, 137, 1, 25, 132.2, 1, 25, 127.8, 1, 25, 123.2, 1, 25, 119.8, 1, 25, 117, 1, 25, 115.4, 1, 25, 115, 1, 25, 114.6, 1, 25, 114.4, 1, 25, 115, 1, 25, 115.2, 1, 25, 114.8, 1, 25, 114.8, 1, 25, 115.6, 1, 25, 116.6, 1, 25, 117, 1, 25, 116.2, 1, 25, 114.8, 1, 25, 113, 1, 25, 110.4, 1, 25, 108.4, 1, 25, 108.2, 1, 72, 1, 72, 1, 71.6, 1, 72, 1, 72.4, 1, 72.6, 1, 72.8, 1, 73, 1, 72.8, 1, 72.8, 1, 73.2, 1, 73.4, 1, 73, 1, 73, 1, 73.2, 1, 72.6, 1, 71.6, 1, 71, 1, 70.6, 1, 70.6, 1, 70.8, 1, 71.4, 1, 72.4, 1, 73, 1, 72.6, 1, 72.8, 1, 72.6, 1, 72.4, 1, 72.6, 1, 73.2, 1, 73.4, 1, 73.8, 1, 10, 73.8, 1, 20, 74.2, 1, 30, 75.2, 1, 40, 76.6, 1, 50, 78.8, 1, 50, 81.4, 1, 50, 83.8, 1, 50, 85.8, 1, 50, 87.8, 1, 50, 89.6, 1, 50, 90.8, 1, 50, 91.4, 1, 55, 91.6, 1, 60, 91.4, 1, 65, 91.4, 1, 70, 92, 1, 75, 93.4, 1, 75, 95.2, 1, 75, 97.4, 1, 75, 98.8, 1, 75, 100.2, 1, 75, 101.2, 1, 75, 102.4, 1, 75, 103.2, 1, 80, 104, 1, 85, 105, 1, 90, 106.2, 1, 95, 107, 1, 100, 107.8, 1, 100, 109.6, 1, 100, 111.2, 1, 100, 112.6, 1, 85, 114.2, 1, 70, 115.6, 1, 55, 116.2, 1, 40, 116, 1, 25, 114.6, 1, 25, 112, 1, 25, 108.6, 1, 25, 104, 1, 25, 100.2, 1, 25, 96.8, 1, 25, 92.2, 1, 25, 88.8, 1, 25, 86.6, 1, 25, 84.2, 1, 25, 82.4, 1, 25, 82.6, 1, 25, 82.4, 1, 25, 81.8, 1, 25, 81.2, 1, 25, 80.2, 1, 25, 79.6, 1, 25, 79.6, 1, 25, 80, 1, 25, 80.6, 1, 25, 81.2, 1, 25, 81.4, 1, 25, 81.6, 1, 25, 81.6, 1, 25, 81.2, 1, 25, 81.2, 1, 25, 81.4, 1, 25, 81.8, 1, 104, 1, 104.4, 1, 101.8, 1, 104, 1, 105.6, 1, 105.6, 1, 104.2, 1, 105.2, 1, 104.8, 1, 103.2, 1, 104, 1, 104.6, 1, 103.4, 1, 103.2, 1, 102.2, 1, 100.2, 1, 99, 1, 98.8, 1, 97.2, 1, 98.8, 1, 101, 1, 100, 1, 100.4, 1, 102.4, 1, 104.6, 1, 104.8, 1, 107, 1, 108.2, 1, 109.4, 1, 106.8, 1, 106, 1, 105, 1, 102.2, 1, 101.6, 1, 100.8, 1, 100.8, 1, 103.6, 1, 107.2, 1, 107, 1, 102.4, 1, 102.6, 1, 99.8, 1, 98.2, 1, 96.8, 1, 102.4, 1, 102.2, 1, 102.8, 1, 102.8, 1, 106, 1, 107.8, 1, 109.4, 1, 110.4, 1, 109.4, 1, 107, 1, 105, 1, 102.8, 1, 100.8, 1, 101, 1, 100.6, 1, 100.6, 1, 101.6, 1, 102.6, 1, 103, 1, 102.8, 1, 104, 1, 104.6, 1, 103.8, 1, 103, 1, 104, 1, 102.6, 1, 101.6, 1, 103.8, 1, 103.4, 1, 102.4, 1, 102.2, 1, 100, 1, 99, 1, 99.8, 1, 99.4, 1, 99.2, 1, 101.8, 1, 100.4, 1, 99.4, 1, 98.2, 1, 99.2, 1, 98.8, 1, 99.4, 1, 101.4, 1, 102.6, 1, 101.2, 1, 99.6, 1, 99.8, 1, 99.2, 1, 100, 1, 100.6, 1, 97, 1, 95.8, 1, 94.8, 1, 93.4, 1, 93.4, 1, 100.2, 1, 100.4, 1, 97.6, 1, 97.8, 1, 99.6, 1, 97, 1, 98.4, 1, 101.8, 1, 104.6, 1, 102.2, 1, 101.4, 1, 101, 1, 101.4, 1, 98.4, 1, 100.4, 1, 101.2, 1, 101.4, 1, 100.8, 1, 101.8, 1, 100, 1, 100.4, 1, 101, 1, 101.8, 1, 104.2, 1, 105.4, 1, 108.2, 1, 107.8, 1, 107.6, 1, 10, 105.4, 1, 20, 108, 1, 30, 110.6, 1, 40, 114.8, 1, 50, 118.2, 1, 50, 122.2, 1, 50, 122.2, 1, 50, 121.8, 1, 50, 122.4, 1, 55, 124.2, 1, 60, 125.2, 1, 65, 125, 1, 70, 125.6, 1, 75, 125.8, 1, 75, 126.8, 1, 75, 130.2, 1, 75, 135.6, 1, 75, 139.2, 1, 75, 143.6, 1, 75, 147, 1, 75, 147.8, 1, 80, 149, 1, 85, 148.8, 1, 90, 148.8, 1, 95, 149.8, 1, 100, 152.6, 1, 100, 155.2, 1, 100, 158, 1, 100, 160, 1, 100, 161.6, 1, 100, 162, 1, 100, 162.4, 1, 100, 163.4, 1, 105, 164, 1, 110, 164.6, 1, 115, 165.2, 1, 120, 165.6, 1, 125, 165.2, 1, 125, 165.6, 1, 125, 166, 1, 125, 166.8, 1, 125, 167.8, 1, 125, 169.4, 1, 125, 170.4, 1, 125, 171.2, 1, 105, 171.6, 1, 85, 172, 1, 65, 171, 1, 45, 169, 1, 25, 166.8, 1, 25, 164.4, 1, 25, 160.6, 1, 25, 157.6, 1, 25, 155.2, 1, 25, 152.4, 1, 25, 149, 1, 25, 147.4, 1, 25, 145.2, 1, 25, 143.8, 1, 25, 141.2, 1, 25, 140, 1, 25, 138.4, 1, 25, 137.8, 1, 25, 135.8, 1, 25, 135.6, 1, 25, 134.6, 1, 25, 133.2, 1, 25, 131.4, 1, 25, 131.8, 1, 25, 131.8, 1, 25, 130.2, 1, 25, 130, 1, 25, 129.2, 1, 10, 75.6, 1, 20, 76.6, 1, 30, 79, 1, 40, 82.4, 1, 50, 85, 1, 50, 87.8, 1, 50, 89.4, 1, 50, 91.2, 1, 50, 92.6, 1, 50, 93.8, 1, 50, 94.8, 1, 50, 95.8, 1, 55, 96.6, 1, 60, 97.8, 1, 65, 99, 1, 70, 100.4, 1, 75, 101.6, 1, 75, 103, 1, 75, 104.2, 1, 75, 105.2, 1, 75, 105.8, 1, 75, 106.6, 1, 75, 107.4, 1, 80, 108, 1, 85, 108.8, 1, 90, 110, 1, 95, 111, 1, 100, 111.8, 1, 100, 112.6, 1, 100, 113.4, 1, 100, 114.2, 1, 100, 115.2, 1, 100, 116.4, 1, 100, 117.8, 1, 100, 119.4, 1, 85, 121.4, 1, 70, 123, 1, 55, 124, 1, 40, 125, 1, 25, 125.8, 1, 25, 125.8, 1, 25, 125.6, 1, 25, 121.2, 1, 25, 121.8, 1, 25, 120.4, 1, 25, 113.4, 1, 25, 111.8, 1, 25, 114.4, 1, 25, 111.8, 1, 25, 107.2, 1, 20, 111.6, 1, 15, 110.4, 1, 10, 108.6, 1, 5, 106.8, 1, 108.8, 1, 107.6, 1, 106.8, 1, 106.6, 1, 106.2, 1, 105.8, 1, 105.4, 1, 104.8, 1, 104.4, 1, 106.4, 1, 105.8, 1, 105.4, 1, 105, 1, 104.6, 1, 101.8, 1, 101.6, 1, 101.2, 1, 101.2, 1, 101, 1, 100.8, 1, 100.8, 1, 100.6, 1, 100.4, 1, 100.8, 1, 101, 1, 101, 1, 101.2, 1, 100.8, 1, 60.4, 1, 60.4, 1, 59.4, 1, 10, 60.2, 1, 15, 58.8, 1, 20, 60.2, 1, 25, 62.6, 1, 30, 65.6, 1, 25, 67.8, 1, 25, 70, 1, 25, 71.8, 1, 25, 73.2, 1, 25, 75.6, 1, 25, 77, 1, 25, 77.8, 1, 30, 79.2, 1, 35, 80.4, 1, 40, 80.6, 1, 45, 83.6, 1, 50, 86, 1, 50, 86.6, 1, 50, 87.6, 1, 50, 89.8, 1, 50, 90.6, 1, 50, 92, 1, 50, 95, 1, 50, 97.2, 1, 55, 98, 1, 60, 98.8, 1, 65, 100.6, 1, 60, 102, 1, 55, 102.6, 1, 45, 101.6, 1, 35, 100.2, 1, 25, 97.6, 1, 25, 95, 1, 25, 92.2, 1, 25, 89.4, 1, 25, 86.2, 1, 25, 83.6, 1, 25, 80.6, 1, 25, 78.2, 1, 25, 76.6, 1, 25, 75.2, 1, 25, 73.6, 1, 25, 72.2, 1, 25, 71, 1, 25, 70, 1, 25, 69.2, 1, 25, 68.4, 1, 25, 67.6, 1, 25, 66.8, 1, 25, 66.2, 1, 73, 1, 10, 73.6, 1, 15, 80, 1, 20, 78, 1, 25, 79.6, 1, 30, 81.8, 1, 25, 83.6, 1, 30, 80, 1, 35, 84.8, 1, 40, 86.8, 1, 45, 88.6, 1, 50, 90.6, 1, 50, 93, 1, 50, 94.8, 1, 50, 96, 1, 50, 97.4, 1, 50, 98.4, 1, 50, 99.4, 1, 55, 100.2, 1, 60, 101, 1, 65, 101.6, 1, 68, 102.4, 1, 71, 103, 1, 69, 104, 1, 59, 105, 1, 49, 105.8, 1, 41, 106, 1, 33, 105.8, 1, 25, 104.8, 1, 25, 104.6, 1, 25, 103.6, 1, 25, 102.8, 1, 25, 101.8, 1, 25, 101.4, 1, 25, 100.2, 1, 25, 98.2, 1, 25, 95.6, 1, 25, 93, 1, 25, 90.4, 1, 25, 87.8, 1, 25, 85.8, 1, 25, 85, 1, 25, 84.2, 1, 25, 83, 1, 25, 81.6, 1, 25, 81.6, 1, 25, 80.6, 1, 25, 79.8, 1, 25, 79.4, 1, 25, 79.4, 1, 25, 79, 1, 25, 78.8, 1, 25, 78.8, 1, 25, 78.8, 1, 25, 78.2, 1, 25, 77.6, 1, 25, 77.8, 1, 64, 1, 65.2, 1, 65.6, 1, 67, 1, 67.2, 1, 10, 69.2, 1, 20, 73, 1, 30, 78.2, 1, 40, 84, 1, 50, 90, 1, 50, 93, 1, 50, 94.2, 1, 50, 94.8, 1, 50, 94.2, 1, 50, 94.6, 1, 50, 95.2, 1, 50, 96.4, 1, 55, 96.8, 1, 60, 97.4, 1, 65, 98.6, 1, 70, 100.4, 1, 75, 101.8, 1, 75, 104, 1, 75, 107.2, 1, 75, 109, 1, 75, 110.2, 1, 75, 111.6, 1, 75, 112.8, 1, 75, 112.4, 1, 80, 112.4, 1, 85, 113.4, 1, 90, 114.6, 1, 95, 116.8, 1, 100, 119.6, 1, 100, 122.6, 1, 100, 124.8, 1, 100, 126.6, 1, 100, 129, 1, 100, 130.6, 1, 100, 132, 1, 100, 133.6, 1, 105, 135.2, 1, 110, 135.6, 1, 115, 137, 1, 120, 138.8, 1, 125, 140.4, 1, 125, 141.8, 1, 125, 143.4, 1, 125, 145, 1, 125, 146, 1, 125, 147.2, 1, 125, 148.8, 1, 125, 150.6, 1, 105, 151.8, 1, 85, 151.8, 1, 65, 150.2, 1, 45, 146.4, 1, 25, 140.6, 1, 25, 134, 1, 25, 127.6, 1, 25, 120.4, 1, 25, 114.2, 1, 25, 108.2, 1, 25, 98.6, 1, 25, 89.8, 1, 25, 82.2, 1, 25, 78, 1, 25, 74, 1, 25, 75.6, 1, 25, 76.6, 1, 25, 78, 1, 25, 77.4, 1, 25, 79.6, 1, 25, 78.8, 1, 25, 80, 1, 25, 79.4, 1, 25, 78.4, 1, 25, 76, 1, 25, 76, 1, 25, 76.2, 1, 25, 79.4, 1, 25, 81.6, 1, 25, 82.4, 1, 25, 82.2, 1, 25, 81.2, 1, 67.8, 1, 68, 1, 68.2, 1, 10, 68.4, 1, 20, 68.4, 1, 30, 68.8, 1, 40, 69, 1, 50, 69.4, 1, 50, 70.6, 1, 50, 72, 1, 50, 74.4, 1, 50, 77.6, 1, 50, 80.8, 1, 50, 82.4, 1, 50, 84.4, 1, 50, 84.8, 1, 50, 85, 1, 55, 84.8, 1, 60, 85.6, 1, 65, 86.4, 1, 70, 87.6, 1, 75, 89.8, 1, 75, 91, 1, 75, 92, 1, 75, 92.8, 1, 75, 94.2, 1, 75, 94.4, 1, 75, 95.6, 1, 75, 97, 1, 75, 98.2, 1, 75, 98.2, 1, 65, 98, 1, 55, 96.6, 1, 45, 93.8, 1, 35, 91.6, 1, 25, 88.2, 1, 25, 84.2, 1, 25, 81.6, 1, 10, 69.2, 1, 20, 72, 1, 30, 76.4, 1, 40, 81.6, 1, 50, 87.4, 1, 50, 92.4, 1, 50, 95.4, 1, 50, 97.6, 1, 50, 98.8, 1, 50, 100.6, 1, 50, 102.2, 1, 50, 103.6, 1, 55, 104.6, 1, 60, 105.6, 1, 65, 106.8, 1, 70, 108, 1, 75, 109.4, 1, 75, 111.4, 1, 75, 115.4, 1, 75, 117.2, 1, 75, 119, 1, 75, 121.6, 1, 75, 124, 1, 75, 125.4, 1, 80, 127.6, 1, 70, 129.6, 1, 60, 130.6, 1, 50, 129.6, 1, 40, 125.8, 1, 25, 121.2, 1, 25, 115.6, 1, 25, 108.6, 1, 25, 103, 1, 25, 99.2, 1, 25, 96.6, 1, 25, 92.2, 1, 25, 91.4, 1, 25, 91.2, 1, 25, 90.2, 1, 25, 89.2, 1, 102.2, 1, 102, 1, 101.2, 1, 10, 104.2, 1, 20, 107.2, 1, 30, 109.8, 1, 40, 114.8, 1, 50, 120.8, 1, 50, 123, 1, 50, 125.2, 1, 50, 127.6, 1, 50, 129.6, 1, 50, 131.2, 1, 50, 132.8, 1, 55, 134, 1, 60, 135.2, 1, 65, 136.6, 1, 70, 138.6, 1, 75, 140.6, 1, 75, 142.6, 1, 75, 144.2, 1, 75, 145.6, 1, 75, 146.4, 1, 75, 147.2, 1, 75, 148.2, 1, 75, 150.2, 1, 80, 152, 1, 70, 153.2, 1, 60, 153.8, 1, 50, 153.4, 1, 40, 151.6, 1, 25, 149, 1, 25, 147.2, 1, 25, 145.4, 1, 25, 144, 1, 25, 143.2, 1, 25, 142.2, 1, 25, 140.6, 1, 25, 138.4, 1, 25, 136.2, 1, 25, 133.4, 1, 25, 131.6, 1, 25, 129.6, 1, 25, 128.4, 1, 25, 128, 1, 25, 128.8, 1, 25, 129, 1, 25, 129, 1, 25, 128.6, 1, 25, 119.2, 1, 25, 118.2, 1, 25, 114.2, 1, 25, 111.2, 1, 25, 109.4, 1, 25, 115.4, 1, 25, 113.2, 1, 25, 115.4, 1, 25, 114.6, 1, 53.4, 1, 53, 1, 53.4, 1, 10, 55.8, 1, 15, 58.6, 1, 20, 62.6, 1, 25, 67, 1, 30, 71, 1, 30, 73.8, 1, 35, 75.8, 1, 40, 77.6, 1, 45, 79.2, 1, 50, 80.8, 1, 50, 82.8, 1, 50, 85.4, 1, 50, 87.4, 1, 50, 89.2, 1, 50, 90.6, 1, 50, 92, 1, 50, 93.2, 1, 55, 94.6, 1, 60, 95.6, 1, 65, 96.4, 1, 70, 97.2, 1, 75, 98, 1, 75, 99.2, 1, 75, 100.6, 1, 75, 102.2, 1, 75, 104.2, 1, 75, 106.8, 1, 75, 108.8, 1, 75, 111, 1, 80, 112.6, 1, 70, 113.8, 1, 55, 112.2, 1, 40, 109.2, 1, 25, 105.8, 1, 5, 99.8, 1, 94, 1, 89, 1, 83.2, 1, 77.2, 1, 72, 1, 66.4, 1, 61.6, 1, 59.2, 1, 56.6, 1, 56, 1, 55.2, 1, 55, 1, 54.2, 1, 54.4, 1, 54.8, 1, 55.2, 1, 56.2, 1, 56.2, 1, 56, 1, 57.4, 1, 57.2, 1, 56.2, 1, 57.8, 1, 59.4, 1, 50, 82.8, 1, 65, 86.4, 1, 70, 89.4, 1, 75, 88.6, 1, 75, 90.6, 1, 75, 90.6, 1, 80, 90.2, 1, 85, 90.2, 1, 90, 91.8, 1, 95, 92.4, 1, 105, 93.8, 1, 110, 95.4, 1, 115, 98.6, 1, 120, 101.2, 1, 125, 101.8, 1, 130, 102.6, 1, 135, 104.2, 1, 140, 105.2, 1, 145, 105.8, 1, 150, 108.4, 1, 150, 111.8, 1, 150, 114.4, 1, 150, 116.4, 1, 150, 118.2, 1, 155, 119.8, 1, 160, 120.8, 1, 165, 122.2, 1, 170, 123, 1, 175, 124.6, 1, 175, 126.2, 1, 175, 127.6, 1, 175, 128.6, 1, 175, 129.2, 1, 180, 130, 1, 185, 131.6, 1, 190, 133.2, 1, 195, 134.4, 1, 200, 135.8, 1, 200, 137.2, 1, 200, 137.8, 1, 200, 137.8, 1, 200, 138.8, 1, 200, 139.6, 1, 205, 140.6, 1, 210, 141.8, 1, 215, 143, 1, 220, 143.8, 1, 225, 145.2, 1, 225, 146.2, 1, 225, 147.2, 1, 225, 148.6, 1, 225, 150.2, 1, 225, 151.8, 1, 225, 152.6, 1, 225, 153.2, 1, 230, 154.4, 1, 235, 155.2, 1, 240, 155.8, 1, 245, 157.2, 1, 250, 158.2, 1, 250, 159.4, 1, 250, 160.6, 1, 250, 161.8, 1, 250, 163.2, 1, 250, 164.8, 1, 250, 165.6, 1, 250, 166.2, 1, 205, 167, 1, 160, 167.6, 1, 115, 166.2, 1, 70, 160.6, 1, 25, 154.4, 1, 25, 148, 1, 25, 138.4, 1, 25, 131.4, 1, 25, 127.2, 1, 25, 123, 1, 25, 117.8, 1, 25, 114.4, 1, 25, 109.8, 1, 25, 105, 1, 25, 102.6, 1, 25, 100.8, 1, 25, 101.2, 1, 25, 101.2, 1, 25, 101, 1, 25, 98.4, 1, 25, 95.6, 1, 25, 92.4, 1, 25, 90, 1, 25, 89.2, 1, 25, 88.2, 1, 25, 89.8, 1, 25, 90.8, 1, 25, 92.2, 1, 25, 93.2, 1, 25, 95.2, 1, 25, 94.8, 1, 25, 94.4, 1, 25, 93.2, 1, 25, 93.4, 1, 40, 102.4, 1, 50, 105, 1, 50, 106.4, 1, 50, 106.6, 1, 50, 106.8, 1, 50, 108, 1, 50, 109.4, 1, 50, 110.4, 1, 50, 111.2, 1, 55, 111.8, 1, 60, 110.8, 1, 65, 108.2, 1, 70, 108.8, 1, 75, 109, 1, 75, 110, 1, 75, 112, 1, 75, 115.2, 1, 75, 115.6, 1, 75, 116.6, 1, 75, 117, 1, 80, 118.2, 1, 85, 119.2, 1, 90, 120.6, 1, 95, 122.2, 1, 100, 123.8, 1, 100, 125, 1, 100, 126.4, 1, 100, 129, 1, 100, 130.8, 1, 100, 132.6, 1, 100, 134.2, 1, 100, 135.6, 1, 105, 136.2, 1, 110, 138.2, 1, 115, 140.4, 1, 120, 142.6, 1, 125, 145.4, 1, 125, 147.8, 1, 105, 150, 1, 85, 151.8, 1, 65, 151.8, 1, 45, 150.6, 1, 25, 148.4, 1, 25, 144.6, 1, 25, 139.8, 1, 25, 136.4, 1, 25, 133.8, 1, 25, 131.2, 1, 25, 129.2, 1, 25, 127.2, 1, 25, 124.8, 1, 25, 121.2, 1, 25, 118.2, 1, 25, 116, 1, 25, 114.6, 1, 25, 114, 1, 25, 114, 1, 25, 114.8, 1, 25, 115.2, 1, 25, 115.4, 1, 25, 114.6, 1, 25, 114, 1, 25, 112.6, 1, 25, 111.4, 1, 25, 110.4, 1, 25, 111.2, 1, 25, 112, 1, 25, 113.4, 1, 25, 114.8, 1, 25, 115.6, 1, 25, 114.4, 1, 25, 113.4, 1, 25, 112.2, 1, 25, 110, 1, 25, 109.6, 1, 20, 60.6, 1, 30, 62.8, 1, 40, 66.6, 1, 50, 70.6, 1, 50, 74.8, 1, 50, 76.4, 1, 50, 79, 1, 50, 80.6, 1, 50, 82, 1, 50, 82.8, 1, 55, 82.2, 1, 60, 81, 1, 65, 80.2, 1, 70, 79.4, 1, 75, 79.4, 1, 75, 81.2, 1, 80, 83.2, 1, 85, 84, 1, 90, 86, 1, 95, 89, 1, 100, 90.8, 1, 100, 91.2, 1, 105, 94, 1, 110, 96.2, 1, 115, 98.2, 1, 120, 100.8, 1, 125, 105, 1, 125, 107.4, 1, 130, 110, 1, 135, 111.8, 1, 140, 113.4, 1, 145, 115.6, 1, 150, 118, 1, 150, 120.4, 1, 155, 122.8, 1, 160, 126, 1, 165, 128.6, 1, 170, 132.6, 1, 175, 135.6, 1, 180, 138.6, 1, 185, 141, 1, 190, 144, 1, 195, 145.8, 1, 200, 148.2, 1, 165, 150.8, 1, 130, 153, 1, 95, 153.2, 1, 60, 149.6, 1, 25, 145.4, 1, 25, 139.2, 1, 25, 131.4, 1, 25, 123.8, 1, 25, 118.6, 1, 25, 113, 1, 25, 108, 1, 25, 101.8, 1, 25, 98.8, 1, 25, 97, 1, 25, 96.4, 1, 25, 95.6, 1, 25, 95.4, 1, 25, 93, 1, 25, 89.8, 1, 25, 86.2, 1, 25, 83.4, 1, 25, 81.8, 1, 25, 79.2, 1, 25, 78, 1, 25, 77, 1, 25, 76.6, 1, 25, 75.6, 1, 73.4, 1, 74.4, 1, 73, 1, 71.2, 1, 71, 1, 73, 1, 73.4, 1, 72.8, 1, 73.6, 1, 74.4, 1, 72.8, 1, 71.2, 1, 71, 1, 69.6, 1, 68.8, 1, 69.4, 1, 70, 1, 70.4, 1, 71.2, 1, 72.2, 1, 73.8, 1, 76, 1, 77.8, 1, 10, 80, 1, 20, 81.6, 1, 30, 82.2, 1, 40, 83.6, 1, 50, 85.4, 1, 50, 88, 1, 50, 90.6, 1, 50, 93.8, 1, 50, 95.4, 1, 50, 96.4, 1, 50, 97.8, 1, 55, 99.2, 1, 60, 99.8, 1, 65, 101.6, 1, 70, 104, 1, 75, 105.4, 1, 75, 106.6, 1, 75, 108.4, 1, 75, 109.2, 1, 75, 110, 1, 75, 110.4, 1, 75, 111.2, 1, 75, 111.6, 1, 80, 112.4, 1, 85, 113.2, 1, 90, 114.6, 1, 95, 116, 1, 100, 118, 1, 100, 119.8, 1, 100, 121, 1, 100, 122, 1, 100, 124.8, 1, 100, 125.4, 1, 100, 126.4, 1, 100, 126.8, 1, 105, 127.4, 1, 90, 126, 1, 75, 124.8, 1, 60, 122.4, 1, 45, 119.4, 1, 25, 116.6, 1, 25, 113, 1, 25, 110.8, 1, 25, 109.2, 1, 25, 106.6, 1, 25, 104.6, 1, 25, 102.6, 1, 25, 99.4, 1, 25, 96, 1, 25, 93.8, 1, 25, 91.4, 1, 25, 89.2, 1, 25, 88.8, 1, 25, 89, 1, 25, 88.4, 1, 25, 87.8, 1, 25, 87, 1, 25, 86.2, 1, 25, 84.2, 1, 25, 85, 1, 25, 84, 1, 25, 84.4, 1, 25, 83.4, 1, 25, 83.2, 1, 25, 82.4, 1, 25, 82.8, 1, 25, 83, 1, 25, 84.2, 1, 50, 73.6, 1, 50, 80, 1, 50, 85.6, 1, 50, 89.2, 1, 50, 91, 1, 50, 91.6, 1, 50, 91.6, 1, 50, 91.6, 1, 55, 91.6, 1, 60, 91.8, 1, 65, 92.8, 1, 70, 94.2, 1, 75, 95.4, 1, 75, 99, 1, 80, 100.4, 1, 85, 102, 1, 90, 104, 1, 95, 105.8, 1, 100, 105, 1, 105, 107, 1, 110, 108.8, 1, 115, 110.8, 1, 120, 112.6, 1, 125, 115.6, 1, 125, 118.2, 1, 130, 120.4, 1, 135, 122, 1, 140, 124.2, 1, 145, 125.6, 1, 150, 127.8, 1, 150, 130.2, 1, 150, 132.2, 1, 150, 134.6, 1, 150, 137.6, 1, 150, 140, 1, 150, 142, 1, 150, 144.6, 1, 155, 146.8, 1, 160, 149, 1, 165, 150.8, 1, 170, 153, 1, 175, 155, 1, 175, 157.4, 1, 175, 159.4, 1, 175, 161.4, 1, 175, 163.2, 1, 175, 164.8, 1, 175, 166, 1, 145, 167, 1, 115, 167.4, 1, 85, 166.2, 1, 55, 163.8, 1, 25, 160.4, 1, 25, 155.8, 1, 25, 151, 1, 25, 146.6, 1, 25, 142.4, 1, 25, 139.2, 1, 25, 136.6, 1, 25, 134, 1, 25, 131.6, 1, 25, 128.8, 1, 25, 125.8, 1, 25, 122.8, 1, 25, 119.8, 1, 25, 116.6, 1, 25, 115.6, 1, 25, 112.6, 1, 25, 110.2, 1, 25, 108.8, 1, 25, 107, 1, 25, 103.8, 1, 25, 102, 1, 25, 98, 1, 25, 90.2, 1, 25, 84.6, 1, 25, 77.8, 1, 25, 70.4, 1, 25, 70.2, 1, 79.6, 1, 78.8, 1, 10, 79.2, 1, 20, 81.2, 1, 30, 83.4, 1, 40, 85.2, 1, 50, 87.8, 1, 50, 91, 1, 50, 92.8, 1, 50, 94.8, 1, 50, 96.2, 1, 50, 97.6, 1, 50, 97.6, 1, 50, 97.2, 1, 55, 97.2, 1, 60, 98, 1, 65, 99, 1, 70, 100.4, 1, 75, 101.4, 1, 75, 102.2, 1, 75, 102.4, 1, 75, 102.2, 1, 75, 102.6, 1, 75, 104, 1, 75, 105.2, 1, 75, 107.2, 1, 80, 109.2, 1, 85, 111, 1, 90, 112, 1, 95, 113.6, 1, 100, 116.6, 1, 85, 117.2, 1, 70, 115, 1, 55, 112.6, 1, 40, 107.6, 1, 25, 101.2, 1, 25, 94.8, 1, 25, 90.2, 1, 25, 86.4, 1, 25, 85.2, 1, 25, 82, 1, 25, 83.2, 1, 25, 84.4, 1, 25, 82.4, 1, 25, 80.6, 1, 25, 79.2, 1, 25, 77.6, 1, 25, 76.8, 1, 25, 76.4, 1, 25, 75.8, 1, 25, 76.8, 1, 25, 77, 1, 25, 77.4, 1, 25, 79.6, 1, 20, 63.2, 1, 30, 66.6, 1, 40, 70.2, 1, 50, 76, 1, 50, 80.6, 1, 50, 85.6, 1, 50, 86.8, 1, 50, 88.2, 1, 50, 88.6, 1, 50, 90.4, 1, 50, 91.4, 1, 55, 93.8, 1, 60, 95, 1, 65, 96.6, 1, 70, 98, 1, 75, 100, 1, 75, 100.8, 1, 75, 102.6, 1, 75, 104, 1, 75, 104.4, 1, 75, 105, 1, 75, 105.8, 1, 75, 105.8, 1, 80, 105.8, 1, 85, 106.2, 1, 90, 106.6, 1, 95, 107.8, 1, 100, 109, 1, 100, 110.4, 1, 100, 112, 1, 100, 113.6, 1, 100, 115.2, 1, 85, 117.2, 1, 70, 116.8, 1, 55, 114.4, 1, 40, 111, 1, 25, 106.8, 1, 25, 100.4, 1, 25, 96, 1, 25, 93, 1, 25, 90.8, 1, 25, 87.4, 1, 25, 85, 1, 25, 82.2, 1, 25, 79.2, 1, 25, 75.8, 1, 25, 74, 1, 25, 73, 1, 25, 71.8, 1, 25, 71, 1, 20, 87.2, 1, 30, 89.6, 1, 40, 92, 1, 50, 96, 1, 50, 99.8, 1, 50, 101.8, 1, 50, 104.2, 1, 50, 106.6, 1, 50, 108, 1, 50, 108.6, 1, 55, 108.8, 1, 60, 108.8, 1, 65, 108.6, 1, 70, 109.4, 1, 75, 110.4, 1, 75, 111.2, 1, 75, 112.6, 1, 75, 114.6, 1, 75, 115.8, 1, 75, 117, 1, 75, 117.8, 1, 75, 118.6, 1, 80, 119.4, 1, 85, 119.8, 1, 90, 120.8, 1, 95, 122.2, 1, 100, 123.4, 1, 100, 124.6, 1, 100, 125.8, 1, 100, 126.8, 1, 100, 128.6, 1, 100, 130.4, 1, 100, 131.4, 1, 100, 126.2, 1, 105, 127.6, 1, 110, 128.6, 1, 115, 129, 1, 120, 129.8, 1, 125, 137, 1, 125, 137.6, 1, 125, 138.2, 1, 125, 139.8, 1, 125, 141.6, 1, 125, 143.6, 1, 125, 145.6, 1, 125, 147.6, 1, 130, 148.8, 1, 135, 150, 1, 140, 150.8, 1, 145, 151.6, 1, 150, 152.2, 1, 150, 153.6, 1, 150, 154.8, 1, 125, 156.2, 1, 100, 157.6, 1, 75, 158.4, 1, 50, 158.2, 1, 25, 157, 1, 25, 154.4, 1, 25, 151, 1, 25, 147.2, 1, 25, 142.2, 1, 25, 137.8, 1, 25, 133.4, 1, 25, 129.2, 1, 25, 125.4, 1, 20, 122.8, 1, 15, 119.2, 1, 10, 116, 1, 5, 113.4, 1, 110.6, 1, 108.2, 1, 105.6, 1, 103.8, 1, 101.8, 1, 99.8, 1, 97.8, 1, 30, 90.8, 1, 40, 92.2, 1, 50, 94.2, 1, 50, 96.4, 1, 50, 98.4, 1, 50, 99.2, 1, 50, 100.2, 1, 50, 101, 1, 50, 100.8, 1, 50, 101.8, 1, 55, 102.8, 1, 60, 103.4, 1, 65, 104.4, 1, 70, 106.2, 1, 75, 106.8, 1, 75, 107.2, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.8, 1, 75, 108.4, 1, 75, 109.2, 1, 80, 109.8, 1, 85, 111.2, 1, 90, 112.6, 1, 95, 113.4, 1, 100, 114, 1, 100, 114.6, 1, 100, 114.4, 1, 100, 113.8, 1, 100, 114, 1, 100, 114, 1, 100, 114.4, 1, 100, 115.2, 1, 105, 116, 1, 110, 116.6, 1, 115, 117.6, 1, 120, 118.4, 1, 125, 118.8, 1, 125, 119.2, 1, 125, 119.6, 1, 125, 119.6, 1, 125, 119.4, 1, 125, 119.4, 1, 125, 119.8, 1, 125, 120, 1, 131, 120.4, 1, 137, 121, 1, 143, 121.2, 1, 149, 121.4, 1, 155, 121.6, 1, 155, 122, 1, 155, 122.2, 1, 155, 122.8, 1, 155, 123.2, 1, 155, 123.4, 1, 155, 123.8, 1, 155, 124.2, 1, 161, 124.6, 1, 167, 125.2, 1, 173, 126.2, 1, 179, 126.8, 1, 185, 127.4, 1, 185, 128, 1, 185, 128.6, 1, 185, 129.2, 1, 185, 130.2, 1, 185, 131.4, 1, 185, 132.2, 1, 153, 133, 1, 121, 133.4, 1, 89, 132.8, 1, 57, 131.8, 1, 25, 130.4, 1, 25, 128.2, 1, 25, 125.8, 1, 25, 123.8, 1, 25, 121.8, 1, 25, 120, 1, 25, 119, 1, 25, 118, 1, 25, 117, 1, 25, 115.8, 1, 25, 114.8, 1, 25, 113.4, 1, 25, 112.2, 1, 25, 111.2, 1, 25, 110.4, 1, 25, 110, 1, 20, 109.6, 1, 15, 109.4, 1, 10, 109.2, 1, 5, 109, 1, 108.4, 1, 107.8, 1, 107, 1, 106.2, 1, 105.4, 1, 104.6, 1, 104.4, 1, 104.2, 1, 104, 1, 103.6, 1, 102.4, 1, 102.6, 1, 102.8, 1, 102.8, 1, 103.2, 1, 104.6, 1, 105.8, 1, 106.4, 1, 10, 87.6, 1, 20, 88.2, 1, 30, 90.2, 1, 40, 93.6, 1, 50, 96.6, 1, 50, 101.6, 1, 50, 106.2, 1, 50, 108.8, 1, 50, 111.4, 1, 50, 113.2, 1, 50, 113.8, 1, 55, 115.4, 1, 60, 117.2, 1, 65, 119.2, 1, 70, 122.6, 1, 75, 126, 1, 75, 128.8, 1, 75, 131.6, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136, 1, 75, 137.2, 1, 75, 137.8, 1, 80, 138.4, 1, 85, 140, 1, 90, 141.8, 1, 95, 142.8, 1, 100, 145.2, 1, 97, 147, 1, 94, 147.6, 1, 91, 148.8, 1, 88, 150.6, 1, 85, 151.2, 1, 85, 153.2, 1, 85, 155.2, 1, 90, 156.4, 1, 78, 157.8, 1, 66, 159.8, 1, 54, 160.6, 1, 42, 159.4, 1, 25, 156.8, 1, 25, 152.4, 1, 25, 147.4, 1, 25, 143, 1, 25, 139.2, 1, 25, 136.4, 1, 25, 134.8, 1, 25, 133.8, 1, 25, 132.8, 1, 25, 132.6, 1, 25, 132.8, 1, 25, 131.6, 1, 25, 130.2, 1, 25, 129, 1, 25, 128.2, 1, 25, 126.4, 1, 25, 125.8, 1, 25, 126.2, 1, 25, 124.6, 1, 25, 123.2, 1, 25, 122.2, 1, 25, 122.2, 1, 25, 121.4, 1, 25, 122.2, 1, 25, 123.6, 1, 25, 124.6, 1, 25, 124.4, 1, 25, 123.2, 1, 25, 122.4, 1, 25, 120.6, 1, 25, 119, 1, 25, 119, 1, 25, 119.4, 1, 25, 119.2, 1, 25, 119.4), factors = list()), theta = c(1, 0, 0, 1, 0, 1), Lind = c(1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L), Gp = c(0L, 63L), lower = c(0, -Inf, -Inf, 0, -Inf, 0 ), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 8L, 9L, 9L, 10L, 9L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 14L, 15L, 15L, 16L, 15L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 20L, 21L, 21L, 22L, 21L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 26L, 27L, 27L, 28L, 27L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 32L, 33L, 33L, 34L, 33L, 34L, 35L, 36L, 36L, 37L, 36L, 37L, 38L, 39L, 39L, 40L, 39L, 40L, 41L, 42L, 42L, 43L, 42L, 43L, 44L, 45L, 45L, 46L, 45L, 46L, 47L, 48L, 48L, 49L, 48L, 49L, 50L, 51L, 51L, 52L, 51L, 52L, 53L, 54L, 54L, 55L, 54L, 55L, 56L, 57L, 57L, 58L, 57L, 58L, 59L, 60L, 60L, 61L, 60L, 61L, 62L), p = c(0L, 1L, 3L, 6L, 7L, 9L, 12L, 13L, 15L, 18L, 19L, 21L, 24L, 25L, 27L, 30L, 31L, 33L, 36L, 37L, 39L, 42L, 43L, 45L, 48L, 49L, 51L, 54L, 55L, 57L, 60L, 61L, 63L, 66L, 67L, 69L, 72L, 73L, 75L, 78L, 79L, 81L, 84L, 85L, 87L, 90L, 91L, 93L, 96L, 97L, 99L, 102L, 103L, 105L, 108L, 109L, 111L, 114L, 115L, 117L, 120L, 121L, 123L, 126L), Dim = c(63L, 63L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1), factors = list()), flist = list(id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L)), cnms = list(id = c("(Intercept)", "input1_rollmean", "signal_rollmean")), Ztlist = list(`1 + input1_rollmean + signal_rollmean | id` = new("dgCMatrix", i = c(0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 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43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 42L, 43L, 44L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 45L, 46L, 47L, 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49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 48L, 49L, 50L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 51L, 52L, 53L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 55L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 54L, 56L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 59L, 57L, 58L, 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61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L, 60L, 61L, 62L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 205L, 208L, 211L, 214L, 217L, 220L, 223L, 226L, 229L, 232L, 235L, 238L, 241L, 244L, 247L, 250L, 253L, 256L, 259L, 262L, 265L, 268L, 271L, 274L, 277L, 280L, 283L, 286L, 289L, 292L, 295L, 298L, 301L, 304L, 307L, 310L, 313L, 316L, 319L, 322L, 325L, 328L, 331L, 334L, 337L, 340L, 343L, 346L, 349L, 352L, 355L, 358L, 361L, 364L, 367L, 370L, 373L, 376L, 379L, 382L, 385L, 388L, 391L, 394L, 396L, 398L, 400L, 402L, 404L, 406L, 408L, 410L, 412L, 414L, 416L, 418L, 420L, 422L, 424L, 426L, 428L, 430L, 432L, 434L, 436L, 438L, 440L, 442L, 444L, 446L, 448L, 450L, 452L, 454L, 456L, 458L, 460L, 462L, 464L, 466L, 468L, 470L, 472L, 474L, 476L, 478L, 480L, 482L, 484L, 486L, 488L, 490L, 492L, 494L, 496L, 498L, 500L, 502L, 504L, 506L, 508L, 510L, 512L, 514L, 516L, 518L, 520L, 522L, 524L, 526L, 528L, 530L, 532L, 534L, 536L, 538L, 540L, 542L, 544L, 546L, 548L, 550L, 552L, 554L, 556L, 558L, 560L, 562L, 564L, 566L, 568L, 570L, 572L, 574L, 576L, 578L, 580L, 582L, 584L, 586L, 588L, 590L, 592L, 594L, 596L, 598L, 600L, 602L, 604L, 606L, 608L, 610L, 612L, 614L, 616L, 618L, 620L, 622L, 624L, 626L, 628L, 630L, 632L, 634L, 636L, 638L, 640L, 642L, 644L, 646L, 648L, 650L, 653L, 656L, 659L, 662L, 665L, 668L, 671L, 674L, 677L, 680L, 683L, 686L, 689L, 692L, 695L, 698L, 701L, 704L, 707L, 710L, 713L, 716L, 719L, 722L, 725L, 728L, 731L, 734L, 737L, 740L, 743L, 746L, 749L, 752L, 755L, 758L, 761L, 764L, 767L, 770L, 773L, 776L, 779L, 782L, 785L, 788L, 791L, 794L, 797L, 800L, 803L, 806L, 809L, 812L, 815L, 818L, 821L, 824L, 827L, 830L, 833L, 836L, 839L, 842L, 845L, 848L, 851L, 854L, 857L, 860L, 863L, 866L, 869L, 872L, 875L, 878L, 881L, 884L, 887L, 890L, 893L, 896L, 899L, 902L, 905L, 908L, 911L, 914L, 917L, 920L, 923L, 926L, 929L, 932L, 935L, 938L, 941L, 944L, 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3861L, 3864L, 3867L, 3870L, 3873L, 3876L, 3879L, 3882L, 3885L, 3888L, 3891L, 3894L, 3897L, 3900L, 3903L, 3906L, 3909L, 3912L, 3915L, 3918L, 3921L, 3924L, 3927L, 3930L, 3933L, 3936L, 3939L, 3942L, 3945L, 3948L, 3951L, 3954L, 3957L, 3960L, 3963L, 3966L, 3969L, 3972L, 3974L, 3976L, 3978L, 3980L, 3982L, 3984L, 3986L, 3989L, 3992L, 3995L, 3998L, 4001L, 4004L, 4007L, 4010L, 4013L, 4016L, 4019L, 4022L, 4025L, 4028L, 4031L, 4034L, 4037L, 4040L, 4043L, 4046L, 4049L, 4052L, 4055L, 4058L, 4061L, 4064L, 4067L, 4070L, 4073L, 4076L, 4079L, 4082L, 4085L, 4088L, 4091L, 4094L, 4097L, 4100L, 4103L, 4106L, 4109L, 4112L, 4115L, 4118L, 4121L, 4124L, 4127L, 4130L, 4133L, 4136L, 4139L, 4142L, 4145L, 4148L, 4151L, 4154L, 4157L, 4160L, 4163L, 4166L, 4169L, 4172L, 4175L, 4178L, 4181L, 4184L, 4187L, 4190L, 4193L, 4196L, 4199L, 4202L, 4205L, 4208L, 4211L, 4214L, 4217L, 4220L, 4223L, 4226L, 4229L, 4232L, 4235L, 4238L, 4241L, 4244L, 4247L, 4250L, 4253L, 4256L, 4259L, 4262L, 4265L, 4267L, 4269L, 4271L, 4273L, 4275L, 4277L, 4279L, 4281L, 4283L, 4285L, 4287L, 4289L, 4291L, 4293L, 4295L, 4297L, 4299L, 4301L, 4304L, 4307L, 4310L, 4313L, 4316L, 4319L, 4322L, 4325L, 4328L, 4331L, 4334L, 4337L, 4340L, 4343L, 4346L, 4349L, 4352L, 4355L, 4358L, 4361L, 4364L, 4367L, 4370L, 4373L, 4376L, 4379L, 4382L, 4385L, 4388L, 4391L, 4394L, 4397L, 4400L, 4403L, 4406L, 4409L, 4412L, 4415L, 4418L, 4421L, 4424L, 4427L, 4430L, 4433L, 4436L, 4439L, 4442L, 4445L, 4448L, 4451L, 4454L, 4457L, 4460L, 4463L, 4466L, 4469L, 4472L, 4475L, 4478L, 4481L, 4484L, 4487L, 4490L, 4493L, 4496L, 4499L, 4502L, 4505L, 4508L, 4511L, 4514L, 4517L, 4520L, 4523L, 4526L), Dim = c(63L, 1602L), Dimnames = list( c("1", "1", "1", "2", "2", "2", "3", "3", "3", "4", "4", "4", "5", "5", "5", "6", "6", "6", "7", "7", "7", "8", "8", "8", "9", "9", "9", "10", "10", "10", "11", "11", "11", "12", "12", "12", "13", "13", "13", "14", "14", "14", "15", "15", "15", "16", "16", "16", "17", "17", "17", "18", "18", "18", "19", "19", "19", "20", "20", "20", "21", 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"307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902", "903", "904", "905", "906", "907", "908", "909", "910", "911", "912", "913", "914", "915", "916", "917", "918", "919", "920", "921", "922", "923", "924", "925", "926", "927", "928", "929", "930", "931", "932", "933", "934", "935", "936", "937", "938", "939", "940", "941", "942", "943", "944", "945", "946", "947", "948", "949", "950", "951", "952", "953", "954", "955", "956", "957", "958", "959", "960", "961", "962", "963", "968", "969", "970", "971", "972", "973", "974", "975", "976", "977", "978", "979", "980", "981", "982", "983", "984", "985", "986", "987", "988", "989", "990", "991", "992", "993", "994", "995", "996", "997", "998", "999", "1000", "1001", "1002", "1003", "1004", "1005", "1006", "1007", "1008", "1009", "1010", "1011", "1012", "1013", "1014", "1015", "1016", "1017", "1018", "1019", "1020", "1021", "1022", "1023", "1024", "1025", "1026", "1027", "1028", "1029", "1030", "1031", "1032", "1033", "1034", "1035", "1036", "1037", "1038", "1039", "1040", "1041", "1042", "1047", "1048", "1049", "1050", "1051", "1052", "1053", "1054", "1055", "1056", "1057", "1058", "1059", "1060", "1061", "1062", "1063", "1064", "1065", "1066", "1067", "1068", "1069", "1070", "1071", "1072", "1073", "1074", "1075", "1076", "1077", "1078", "1079", "1080", "1081", "1082", "1083", "1084", "1085", "1086", "1087", "1088", "1089", "1090", "1091", "1092", "1093", "1094", "1095", "1096", "1097", "1098", "1099", "1100", "1101", "1102", "1103", "1104", "1105", "1106", "1107", "1108", "1109", "1110", "1111", "1112", "1113", "1114", "1115", "1116", "1117", "1122", "1123", "1124", "1125", "1126", "1127", "1128", "1129", "1130", "1131", "1132", "1133", "1134", "1135", "1136", "1137", "1138", "1139", "1140", "1141", "1142", "1143", "1144", "1145", "1146", "1147", "1148", "1149", "1150", "1151", "1152", "1153", "1154", "1155", "1156", "1157", "1158", "1159", "1160", "1161", "1162", "1163", "1164", "1165", "1166", "1167", "1168", "1169", "1170", "1171", "1172", "1173", "1174", "1175", "1176", "1177", "1178", "1179", "1180", "1181", "1182", "1183", "1184", "1185", "1186", "1187", "1188", "1189", "1190", "1191", "1192", "1193", "1194", "1195", "1196", "1197", "1198", "1199", "1200", "1201", "1202", "1203", "1204", "1205", "1206", "1207", "1208", "1209", "1210", "1211", "1212", "1217", "1218", "1219", "1220", "1221", "1222", "1223", "1224", "1225", "1226", "1227", "1228", "1229", "1230", "1231", "1232", "1233", "1234", "1235", "1236", "1237", "1238", "1239", "1240", "1241", "1242", "1243", "1244", "1245", "1246", "1247", "1248", "1249", "1250", "1251", "1252", "1253", "1254", "1255", "1256", "1257", "1258", "1259", "1260", "1261", "1262", "1263", "1264", "1265", "1266", "1267", "1268", "1269", "1270", "1271", "1272", "1273", "1274", "1275", "1276", "1277", "1278", "1279", "1280", "1281", "1282", "1283", "1284", "1285", "1286", "1287", "1288", "1289", "1290", "1291", "1292", "1293", "1294", "1295", "1300", "1301", "1302", "1303", "1304", "1305", "1306", "1307", "1308", "1309", "1310", "1311", "1312", "1313", "1314", "1315", "1316", "1317", "1318", "1319", "1320", "1321", "1322", "1323", "1324", "1325", "1326", "1327", "1328", "1329", "1330", "1331", "1332", "1333", "1334", "1335", "1336", "1337", "1338", "1339", "1340", "1341", "1342", "1343", "1344", "1345", "1346", "1347", "1348", "1349", "1350", "1351", "1352", "1353", "1358", "1359", "1360", "1361", "1362", "1363", "1364", "1365", "1366", "1367", "1368", "1369", "1370", "1371", "1372", "1373", "1374", "1375", "1376", "1377", "1378", "1379", "1380", "1381", "1382", "1383", "1384", "1385", "1386", "1387", "1388", "1389", "1390", "1391", "1392", "1393", "1394", "1395", "1396", "1397", "1398", "1399", "1400", "1401", "1402", "1403", "1404", "1405", "1406", "1407", "1412", "1413", "1414", "1415", "1416", "1417", "1418", "1419", "1420", "1421", "1422", "1423", "1424", "1425", "1426", "1427", "1428", "1429", "1430", "1431", "1432", "1433", "1434", "1435", "1436", "1437", "1438", "1439", "1440", "1441", "1442", "1443", "1444", "1445", "1446", "1447", "1448", "1449", "1450", "1451", "1452", "1453", "1454", "1455", "1456", "1457", "1458", "1459", "1460", "1461", "1462", "1463", "1464", "1465", "1466", "1467", "1468", "1469", "1470", "1471", "1472", "1473", "1474", "1475", "1476", "1477", "1478", "1479", "1480", "1481", "1482", "1483", "1484", "1485", "1486", "1487", "1488", "1493", "1494", "1495", "1496", "1497", "1498", "1499", "1500", "1501", "1502", "1503", "1504", "1505", "1506", "1507", "1508", "1509", "1510", "1511", "1512", "1513", "1514", "1515", "1516", "1517", "1518", "1519", "1520", "1521", "1522", "1523", "1524", "1525", "1526", "1527", "1528", "1529", "1530", "1531", "1532", "1533", "1534", "1535", "1536", "1537", "1538", "1539", "1540", "1541", "1542", "1543", "1544", "1545", "1546", "1547", "1548", "1549", "1550", "1551", "1552", "1553", "1554", "1555", "1556", "1557", "1558", "1559", "1560", "1561", "1562", "1563", "1564", "1565", "1566", "1567", "1568", "1569", "1570", "1571", "1572", "1573", "1574", "1575", "1576", "1577", "1578", "1579", "1580", "1581", "1582", "1583", "1584", "1585", "1586", "1587", "1588", "1589", "1590", "1591", "1592", "1593", "1594", "1595", "1596", "1597", "1598", "1599", "1600", "1601", "1602", "1603", "1608", "1609", "1610", "1611", "1612", "1613", "1614", "1615", "1616", "1617", "1618", "1619", "1620", "1621", "1622", "1623", "1624", "1625", "1626", "1627", "1628", "1629", "1630", "1631", "1632", "1633", "1634", "1635", "1636", "1637", "1638", "1639", "1640", "1641", "1642", "1643", "1644", "1645", "1646", "1647", "1648", "1649", "1650", "1651", "1652", "1653", "1654", "1655", "1656", "1657", "1658", "1659", "1660", "1661", "1662", "1663", "1664", "1665", "1666", "1667", "1668", "1669", "1670", "1671", "1672", "1673", "1674", "1675", "1676", "1677", "1678", "1679", "1680", "1681", "1682")), x = c(1, 40, 120.2, 1, 50, 121.6, 1, 50, 122.4, 1, 50, 123, 1, 55, 124.2, 1, 60, 125, 1, 65, 125.6, 1, 70, 127.2, 1, 75, 129, 1, 75, 130.6, 1, 75, 131.2, 1, 75, 132.4, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136.6, 1, 75, 139.8, 1, 80, 142.4, 1, 85, 144.4, 1, 75, 145.8, 1, 65, 146.4, 1, 55, 145.8, 1, 40, 144.2, 1, 25, 141.2, 1, 25, 137, 1, 25, 132.2, 1, 25, 127.8, 1, 25, 123.2, 1, 25, 119.8, 1, 25, 117, 1, 25, 115.4, 1, 25, 115, 1, 25, 114.6, 1, 25, 114.4, 1, 25, 115, 1, 25, 115.2, 1, 25, 114.8, 1, 25, 114.8, 1, 25, 115.6, 1, 25, 116.6, 1, 25, 117, 1, 25, 116.2, 1, 25, 114.8, 1, 25, 113, 1, 25, 110.4, 1, 25, 108.4, 1, 25, 108.2, 1, 72, 1, 72, 1, 71.6, 1, 72, 1, 72.4, 1, 72.6, 1, 72.8, 1, 73, 1, 72.8, 1, 72.8, 1, 73.2, 1, 73.4, 1, 73, 1, 73, 1, 73.2, 1, 72.6, 1, 71.6, 1, 71, 1, 70.6, 1, 70.6, 1, 70.8, 1, 71.4, 1, 72.4, 1, 73, 1, 72.6, 1, 72.8, 1, 72.6, 1, 72.4, 1, 72.6, 1, 73.2, 1, 73.4, 1, 73.8, 1, 10, 73.8, 1, 20, 74.2, 1, 30, 75.2, 1, 40, 76.6, 1, 50, 78.8, 1, 50, 81.4, 1, 50, 83.8, 1, 50, 85.8, 1, 50, 87.8, 1, 50, 89.6, 1, 50, 90.8, 1, 50, 91.4, 1, 55, 91.6, 1, 60, 91.4, 1, 65, 91.4, 1, 70, 92, 1, 75, 93.4, 1, 75, 95.2, 1, 75, 97.4, 1, 75, 98.8, 1, 75, 100.2, 1, 75, 101.2, 1, 75, 102.4, 1, 75, 103.2, 1, 80, 104, 1, 85, 105, 1, 90, 106.2, 1, 95, 107, 1, 100, 107.8, 1, 100, 109.6, 1, 100, 111.2, 1, 100, 112.6, 1, 85, 114.2, 1, 70, 115.6, 1, 55, 116.2, 1, 40, 116, 1, 25, 114.6, 1, 25, 112, 1, 25, 108.6, 1, 25, 104, 1, 25, 100.2, 1, 25, 96.8, 1, 25, 92.2, 1, 25, 88.8, 1, 25, 86.6, 1, 25, 84.2, 1, 25, 82.4, 1, 25, 82.6, 1, 25, 82.4, 1, 25, 81.8, 1, 25, 81.2, 1, 25, 80.2, 1, 25, 79.6, 1, 25, 79.6, 1, 25, 80, 1, 25, 80.6, 1, 25, 81.2, 1, 25, 81.4, 1, 25, 81.6, 1, 25, 81.6, 1, 25, 81.2, 1, 25, 81.2, 1, 25, 81.4, 1, 25, 81.8, 1, 104, 1, 104.4, 1, 101.8, 1, 104, 1, 105.6, 1, 105.6, 1, 104.2, 1, 105.2, 1, 104.8, 1, 103.2, 1, 104, 1, 104.6, 1, 103.4, 1, 103.2, 1, 102.2, 1, 100.2, 1, 99, 1, 98.8, 1, 97.2, 1, 98.8, 1, 101, 1, 100, 1, 100.4, 1, 102.4, 1, 104.6, 1, 104.8, 1, 107, 1, 108.2, 1, 109.4, 1, 106.8, 1, 106, 1, 105, 1, 102.2, 1, 101.6, 1, 100.8, 1, 100.8, 1, 103.6, 1, 107.2, 1, 107, 1, 102.4, 1, 102.6, 1, 99.8, 1, 98.2, 1, 96.8, 1, 102.4, 1, 102.2, 1, 102.8, 1, 102.8, 1, 106, 1, 107.8, 1, 109.4, 1, 110.4, 1, 109.4, 1, 107, 1, 105, 1, 102.8, 1, 100.8, 1, 101, 1, 100.6, 1, 100.6, 1, 101.6, 1, 102.6, 1, 103, 1, 102.8, 1, 104, 1, 104.6, 1, 103.8, 1, 103, 1, 104, 1, 102.6, 1, 101.6, 1, 103.8, 1, 103.4, 1, 102.4, 1, 102.2, 1, 100, 1, 99, 1, 99.8, 1, 99.4, 1, 99.2, 1, 101.8, 1, 100.4, 1, 99.4, 1, 98.2, 1, 99.2, 1, 98.8, 1, 99.4, 1, 101.4, 1, 102.6, 1, 101.2, 1, 99.6, 1, 99.8, 1, 99.2, 1, 100, 1, 100.6, 1, 97, 1, 95.8, 1, 94.8, 1, 93.4, 1, 93.4, 1, 100.2, 1, 100.4, 1, 97.6, 1, 97.8, 1, 99.6, 1, 97, 1, 98.4, 1, 101.8, 1, 104.6, 1, 102.2, 1, 101.4, 1, 101, 1, 101.4, 1, 98.4, 1, 100.4, 1, 101.2, 1, 101.4, 1, 100.8, 1, 101.8, 1, 100, 1, 100.4, 1, 101, 1, 101.8, 1, 104.2, 1, 105.4, 1, 108.2, 1, 107.8, 1, 107.6, 1, 10, 105.4, 1, 20, 108, 1, 30, 110.6, 1, 40, 114.8, 1, 50, 118.2, 1, 50, 122.2, 1, 50, 122.2, 1, 50, 121.8, 1, 50, 122.4, 1, 55, 124.2, 1, 60, 125.2, 1, 65, 125, 1, 70, 125.6, 1, 75, 125.8, 1, 75, 126.8, 1, 75, 130.2, 1, 75, 135.6, 1, 75, 139.2, 1, 75, 143.6, 1, 75, 147, 1, 75, 147.8, 1, 80, 149, 1, 85, 148.8, 1, 90, 148.8, 1, 95, 149.8, 1, 100, 152.6, 1, 100, 155.2, 1, 100, 158, 1, 100, 160, 1, 100, 161.6, 1, 100, 162, 1, 100, 162.4, 1, 100, 163.4, 1, 105, 164, 1, 110, 164.6, 1, 115, 165.2, 1, 120, 165.6, 1, 125, 165.2, 1, 125, 165.6, 1, 125, 166, 1, 125, 166.8, 1, 125, 167.8, 1, 125, 169.4, 1, 125, 170.4, 1, 125, 171.2, 1, 105, 171.6, 1, 85, 172, 1, 65, 171, 1, 45, 169, 1, 25, 166.8, 1, 25, 164.4, 1, 25, 160.6, 1, 25, 157.6, 1, 25, 155.2, 1, 25, 152.4, 1, 25, 149, 1, 25, 147.4, 1, 25, 145.2, 1, 25, 143.8, 1, 25, 141.2, 1, 25, 140, 1, 25, 138.4, 1, 25, 137.8, 1, 25, 135.8, 1, 25, 135.6, 1, 25, 134.6, 1, 25, 133.2, 1, 25, 131.4, 1, 25, 131.8, 1, 25, 131.8, 1, 25, 130.2, 1, 25, 130, 1, 25, 129.2, 1, 10, 75.6, 1, 20, 76.6, 1, 30, 79, 1, 40, 82.4, 1, 50, 85, 1, 50, 87.8, 1, 50, 89.4, 1, 50, 91.2, 1, 50, 92.6, 1, 50, 93.8, 1, 50, 94.8, 1, 50, 95.8, 1, 55, 96.6, 1, 60, 97.8, 1, 65, 99, 1, 70, 100.4, 1, 75, 101.6, 1, 75, 103, 1, 75, 104.2, 1, 75, 105.2, 1, 75, 105.8, 1, 75, 106.6, 1, 75, 107.4, 1, 80, 108, 1, 85, 108.8, 1, 90, 110, 1, 95, 111, 1, 100, 111.8, 1, 100, 112.6, 1, 100, 113.4, 1, 100, 114.2, 1, 100, 115.2, 1, 100, 116.4, 1, 100, 117.8, 1, 100, 119.4, 1, 85, 121.4, 1, 70, 123, 1, 55, 124, 1, 40, 125, 1, 25, 125.8, 1, 25, 125.8, 1, 25, 125.6, 1, 25, 121.2, 1, 25, 121.8, 1, 25, 120.4, 1, 25, 113.4, 1, 25, 111.8, 1, 25, 114.4, 1, 25, 111.8, 1, 25, 107.2, 1, 20, 111.6, 1, 15, 110.4, 1, 10, 108.6, 1, 5, 106.8, 1, 108.8, 1, 107.6, 1, 106.8, 1, 106.6, 1, 106.2, 1, 105.8, 1, 105.4, 1, 104.8, 1, 104.4, 1, 106.4, 1, 105.8, 1, 105.4, 1, 105, 1, 104.6, 1, 101.8, 1, 101.6, 1, 101.2, 1, 101.2, 1, 101, 1, 100.8, 1, 100.8, 1, 100.6, 1, 100.4, 1, 100.8, 1, 101, 1, 101, 1, 101.2, 1, 100.8, 1, 60.4, 1, 60.4, 1, 59.4, 1, 10, 60.2, 1, 15, 58.8, 1, 20, 60.2, 1, 25, 62.6, 1, 30, 65.6, 1, 25, 67.8, 1, 25, 70, 1, 25, 71.8, 1, 25, 73.2, 1, 25, 75.6, 1, 25, 77, 1, 25, 77.8, 1, 30, 79.2, 1, 35, 80.4, 1, 40, 80.6, 1, 45, 83.6, 1, 50, 86, 1, 50, 86.6, 1, 50, 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100, 124.6, 1, 100, 125.8, 1, 100, 126.8, 1, 100, 128.6, 1, 100, 130.4, 1, 100, 131.4, 1, 100, 126.2, 1, 105, 127.6, 1, 110, 128.6, 1, 115, 129, 1, 120, 129.8, 1, 125, 137, 1, 125, 137.6, 1, 125, 138.2, 1, 125, 139.8, 1, 125, 141.6, 1, 125, 143.6, 1, 125, 145.6, 1, 125, 147.6, 1, 130, 148.8, 1, 135, 150, 1, 140, 150.8, 1, 145, 151.6, 1, 150, 152.2, 1, 150, 153.6, 1, 150, 154.8, 1, 125, 156.2, 1, 100, 157.6, 1, 75, 158.4, 1, 50, 158.2, 1, 25, 157, 1, 25, 154.4, 1, 25, 151, 1, 25, 147.2, 1, 25, 142.2, 1, 25, 137.8, 1, 25, 133.4, 1, 25, 129.2, 1, 25, 125.4, 1, 20, 122.8, 1, 15, 119.2, 1, 10, 116, 1, 5, 113.4, 1, 110.6, 1, 108.2, 1, 105.6, 1, 103.8, 1, 101.8, 1, 99.8, 1, 97.8, 1, 30, 90.8, 1, 40, 92.2, 1, 50, 94.2, 1, 50, 96.4, 1, 50, 98.4, 1, 50, 99.2, 1, 50, 100.2, 1, 50, 101, 1, 50, 100.8, 1, 50, 101.8, 1, 55, 102.8, 1, 60, 103.4, 1, 65, 104.4, 1, 70, 106.2, 1, 75, 106.8, 1, 75, 107.2, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.6, 1, 75, 107.8, 1, 75, 108.4, 1, 75, 109.2, 1, 80, 109.8, 1, 85, 111.2, 1, 90, 112.6, 1, 95, 113.4, 1, 100, 114, 1, 100, 114.6, 1, 100, 114.4, 1, 100, 113.8, 1, 100, 114, 1, 100, 114, 1, 100, 114.4, 1, 100, 115.2, 1, 105, 116, 1, 110, 116.6, 1, 115, 117.6, 1, 120, 118.4, 1, 125, 118.8, 1, 125, 119.2, 1, 125, 119.6, 1, 125, 119.6, 1, 125, 119.4, 1, 125, 119.4, 1, 125, 119.8, 1, 125, 120, 1, 131, 120.4, 1, 137, 121, 1, 143, 121.2, 1, 149, 121.4, 1, 155, 121.6, 1, 155, 122, 1, 155, 122.2, 1, 155, 122.8, 1, 155, 123.2, 1, 155, 123.4, 1, 155, 123.8, 1, 155, 124.2, 1, 161, 124.6, 1, 167, 125.2, 1, 173, 126.2, 1, 179, 126.8, 1, 185, 127.4, 1, 185, 128, 1, 185, 128.6, 1, 185, 129.2, 1, 185, 130.2, 1, 185, 131.4, 1, 185, 132.2, 1, 153, 133, 1, 121, 133.4, 1, 89, 132.8, 1, 57, 131.8, 1, 25, 130.4, 1, 25, 128.2, 1, 25, 125.8, 1, 25, 123.8, 1, 25, 121.8, 1, 25, 120, 1, 25, 119, 1, 25, 118, 1, 25, 117, 1, 25, 115.8, 1, 25, 114.8, 1, 25, 113.4, 1, 25, 112.2, 1, 25, 111.2, 1, 25, 110.4, 1, 25, 110, 1, 20, 109.6, 1, 15, 109.4, 1, 10, 109.2, 1, 5, 109, 1, 108.4, 1, 107.8, 1, 107, 1, 106.2, 1, 105.4, 1, 104.6, 1, 104.4, 1, 104.2, 1, 104, 1, 103.6, 1, 102.4, 1, 102.6, 1, 102.8, 1, 102.8, 1, 103.2, 1, 104.6, 1, 105.8, 1, 106.4, 1, 10, 87.6, 1, 20, 88.2, 1, 30, 90.2, 1, 40, 93.6, 1, 50, 96.6, 1, 50, 101.6, 1, 50, 106.2, 1, 50, 108.8, 1, 50, 111.4, 1, 50, 113.2, 1, 50, 113.8, 1, 55, 115.4, 1, 60, 117.2, 1, 65, 119.2, 1, 70, 122.6, 1, 75, 126, 1, 75, 128.8, 1, 75, 131.6, 1, 75, 133.6, 1, 75, 134.8, 1, 75, 136, 1, 75, 137.2, 1, 75, 137.8, 1, 80, 138.4, 1, 85, 140, 1, 90, 141.8, 1, 95, 142.8, 1, 100, 145.2, 1, 97, 147, 1, 94, 147.6, 1, 91, 148.8, 1, 88, 150.6, 1, 85, 151.2, 1, 85, 153.2, 1, 85, 155.2, 1, 90, 156.4, 1, 78, 157.8, 1, 66, 159.8, 1, 54, 160.6, 1, 42, 159.4, 1, 25, 156.8, 1, 25, 152.4, 1, 25, 147.4, 1, 25, 143, 1, 25, 139.2, 1, 25, 136.4, 1, 25, 134.8, 1, 25, 133.8, 1, 25, 132.8, 1, 25, 132.6, 1, 25, 132.8, 1, 25, 131.6, 1, 25, 130.2, 1, 25, 129, 1, 25, 128.2, 1, 25, 126.4, 1, 25, 125.8, 1, 25, 126.2, 1, 25, 124.6, 1, 25, 123.2, 1, 25, 122.2, 1, 25, 122.2, 1, 25, 121.4, 1, 25, 122.2, 1, 25, 123.6, 1, 25, 124.6, 1, 25, 124.4, 1, 25, 123.2, 1, 25, 122.4, 1, 25, 120.6, 1, 25, 119, 1, 25, 119, 1, 25, 119.4, 1, 25, 119.2, 1, 25, 119.4), factors = list())), nl = c(id = 21L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = FALSE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = paste0("signal_derivate1 ~ signal_rollmean + (1 +", paste(doremiexc, "rollmean ", collapse = "+", sep = "_"), " + signal_rollmean |id) + ", paste(doremiexc, "rollmean ", collapse = "+", sep = "_")), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 12: eval(expr, p) 13: eval(expr, p) 14: eval.parent(mc) 15: lmer(paste0("signal_derivate1 ~ signal_rollmean + (1 +", paste(doremiexc, "rollmean ", collapse = "+", sep = "_"), " + signal_rollmean |id) + ", paste(doremiexc, "rollmean ", collapse = "+", sep = "_")), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 16: doTryCatch(return(expr), name, parentenv, handler) 17: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 18: tryCatchList(expr, classes, parentenv, handlers) 19: tryCatch({ lmer(paste0("signal_derivate1 ~ signal_rollmean + (1 +", paste(doremiexc, "rollmean ", collapse = "+", sep = "_"), " + signal_rollmean |id) + ", paste(doremiexc, "rollmean ", collapse = "+", sep = "_")), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap"))}, error = function(e) e) 20: analyze.1order(data = cardio, id = "id", input = "load", time = "time", signal = "hr", dermethod = "gold", derparam = 5) An irrecoverable exception occurred. R is aborting now ... * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking re-building of vignette outputs ... ERROR Error(s) in re-building vignettes: --- re-building 'Introduction-to-doremi.Rmd' using rmarkdown --- finished re-building 'Introduction-to-doremi.Rmd' --- re-building 'derivatives.Rmd' using rmarkdown --- finished re-building 'derivatives.Rmd' sh: line 1: 2617436 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16169352/Rtmp4s1hcX/file27d693130de815' 2>&1 < '/tmp/th798/16169352/Rtmp4s1hcX/file27d69374f84dde' --- re-building 'first-order.Rmd' using rmarkdown *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L), p = c(0L, 2L, 4L, 6L, 8L, 10L, 12L, 14L, 16L, 18L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 40L, 42L, 44L, 46L, 48L, 50L, 52L, 54L, 56L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 78L, 80L, 82L, 84L, 86L, 88L, 90L, 92L, 94L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 116L, 118L, 120L, 122L, 124L, 126L, 128L, 130L, 132L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 204L, 206L, 208L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 230L, 232L, 234L, 236L, 238L, 240L, 242L, 244L, 246L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 268L, 270L, 272L, 274L, 276L, 278L, 280L, 282L, 284L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 306L), Dim = c(6L, 153L), Dimnames = list(c("1", "1", "2", "2", "3", "3"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153")), x = c(1, 0.495901740514453, 1, 0.456667330730232, 1, 0.417440930273866, 1, 0.378607292857146, 1, 0.340659283349848, 1, 0.304063203449382, 1, 0.269103539496562, 1, 0.235856884459146, 1, 0.204850689401493, 1, 0.176697919999063, 1, 0.151476833072145, 1, 0.129383233319988, 1, 0.110581500927246, 1, 0.0950371687999673, 1, 0.0827187786774895, 1, 0.0734450392696856, 1, 0.066922705728226, 1, 0.0626956867588806, 1, 0.0599706925051169, 1, 0.0582479815059123, 1, 0.0571352918848011, 1, 0.0559992664490986, 1, 0.0545151960344742, 1, 0.0524778844096558, 1, 0.0495515244912467, 1, 0.0455704441018668, 1, 0.0406129660713029, 1, 0.0349746944056548, 1, 0.0291293263767279, 1, 0.0236552723885336, 1, 0.0190406248379424, 1, 0.0155836992008754, 1, 0.0133530231470362, 1, 0.0121372034469481, 1, 0.0114999258403529, 1, 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0.13459870833537, 1, 0.12215710720471, 1, 0.110782293581536, 1, 0.100657818431491, 1, 0.0911755294651866, 1, 0.0819294898704175, 1, 0.0721649302232357, 1, 0.0616457698127599, 1, 0.0510935868331744, 1, 0.0410831137520532, 1, 0.0325863993008917, 1, 0.0266812178306308, 1, 0.0238895094233347, 1, 0.0240587948015663, 1, 0.0264330138614034, 1, 0.0299770527154764, 1, 0.0332471597972266, 1, 0.0353463797969794, 1, 0.036352790024463, 1, 0.0361087294104063, 1, 0.0347359993756661, 1, 0.0327860553486338, 1, 0.0308730596686004, 1, 0.0291092951539227, 1, 0.0273388376096616, 1, 0.0252603985515936, 1, 0.0226888182170497, 1, 0.019383774710581, 1, 0.0153799656270892, 1, 0.0109044953704476), factors = list()), theta = c(1, 0, 1), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L), Dim = c(6L, 6L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), n = 153L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.495901740514453, 0.456667330730232, 0.417440930273866, 0.378607292857146, 0.340659283349848, 0.304063203449382, 0.269103539496562, 0.235856884459146, 0.204850689401493, 0.176697919999063, 0.151476833072145, 0.129383233319988, 0.110581500927246, 0.0950371687999673, 0.0827187786774895, 0.0734450392696856, 0.066922705728226, 0.0626956867588806, 0.0599706925051169, 0.0582479815059123, 0.0571352918848011, 0.0559992664490986, 0.0545151960344742, 0.0524778844096558, 0.0495515244912467, 0.0455704441018668, 0.0406129660713029, 0.0349746944056548, 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0.0490872442736494, 0.0479047992825853, 0.0465819983744561, 0.0448812327689728, 0.0427429947917704, 0.0403110997563418, 0.0377429026005286, 0.0350002312332498, 0.0317081208199126, 0.0276010903976929, 0.0222867114510955, 0.015998580697241, 0.00951095166539377, 0.00348416818854211, -0.00185772394663211, -0.00654403278732607, -0.0104926386878161, -0.0135588231897803, -0.0156223250392156, -0.0166930711510285, -0.0167001568079916, -0.0157313924872644, -0.0143247937655567, -0.0128375986661221, 0.644199695027728, 0.603981696037456, 0.5643611526696, 0.525361389905558, 0.487007623252729, 0.449701988497688, 0.41415545614283, 0.381198612316433, 0.351415346183655, 0.324962272763981, 0.301605163057527, 0.281095431067726, 0.262848290079001, 0.246027800671702, 0.229909513171003, 0.214548047788424, 0.199950795549937, 0.186161751092888, 0.173158604519073, 0.160451975613128, 0.147541282261464, 0.13459870833537, 0.12215710720471, 0.110782293581536, 0.100657818431491, 0.0911755294651866, 0.0819294898704175, 0.0721649302232357, 0.0616457698127599, 0.0510935868331744, 0.0410831137520532, 0.0325863993008917, 0.0266812178306308, 0.0238895094233347, 0.0240587948015663, 0.0264330138614034, 0.0299770527154764, 0.0332471597972266, 0.0353463797969794, 0.036352790024463, 0.0361087294104063, 0.0347359993756661, 0.0327860553486338, 0.0308730596686004, 0.0291092951539227, 0.0273388376096616, 0.0252603985515936, 0.0226888182170497, 0.019383774710581, 0.0153799656270892, 0.0109044953704476)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(signal_derivate1 = c(-0.039220292182886, -0.0392627798141882, -0.0391110192821231, -0.0384732566765778, -0.0373408947836183, -0.0357954324122435, -0.0341446071272677, -0.0322450960493918, -0.0296335589603723, -0.0266975614893701, -0.0236977640701897, -0.0204554422670932, -0.0171664632961352, -0.0139168981084295, -0.0107541110194166, -0.00784304640474943, -0.00526192220937626, -0.00335732229016055, 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-0.0156223250392156, -0.0166930711510285, -0.0167001568079916, -0.0157313924872644, -0.0143247937655567, -0.0128375986661221, 0.644199695027728, 0.603981696037456, 0.5643611526696, 0.525361389905558, 0.487007623252729, 0.449701988497688, 0.41415545614283, 0.381198612316433, 0.351415346183655, 0.324962272763981, 0.301605163057527, 0.281095431067726, 0.262848290079001, 0.246027800671702, 0.229909513171003, 0.214548047788424, 0.199950795549937, 0.186161751092888, 0.173158604519073, 0.160451975613128, 0.147541282261464, 0.13459870833537, 0.12215710720471, 0.110782293581536, 0.100657818431491, 0.0911755294651866, 0.0819294898704175, 0.0721649302232357, 0.0616457698127599, 0.0510935868331744, 0.0410831137520532, 0.0325863993008917, 0.0266812178306308, 0.0238895094233347, 0.0240587948015663, 0.0264330138614034, 0.0299770527154764, 0.0332471597972266, 0.0353463797969794, 0.036352790024463, 0.0361087294104063, 0.0347359993756661, 0.0327860553486338, 0.0308730596686004, 0.0291092951539227, 0.0273388376096616, 0.0252603985515936, 0.0226888182170497, 0.019383774710581, 0.0153799656270892, 0.0109044953704476), reTrms = list(Zt = new("dgCMatrix", i = c(0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L), p = c(0L, 2L, 4L, 6L, 8L, 10L, 12L, 14L, 16L, 18L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 40L, 42L, 44L, 46L, 48L, 50L, 52L, 54L, 56L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 78L, 80L, 82L, 84L, 86L, 88L, 90L, 92L, 94L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 116L, 118L, 120L, 122L, 124L, 126L, 128L, 130L, 132L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 204L, 206L, 208L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 230L, 232L, 234L, 236L, 238L, 240L, 242L, 244L, 246L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 268L, 270L, 272L, 274L, 276L, 278L, 280L, 282L, 284L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 306L), Dim = c(6L, 153L), Dimnames = list(c("1", "1", "2", "2", "3", "3"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153")), x = c(1, 0.495901740514453, 1, 0.456667330730232, 1, 0.417440930273866, 1, 0.378607292857146, 1, 0.340659283349848, 1, 0.304063203449382, 1, 0.269103539496562, 1, 0.235856884459146, 1, 0.204850689401493, 1, 0.176697919999063, 1, 0.151476833072145, 1, 0.129383233319988, 1, 0.110581500927246, 1, 0.0950371687999673, 1, 0.0827187786774895, 1, 0.0734450392696856, 1, 0.066922705728226, 1, 0.0626956867588806, 1, 0.0599706925051169, 1, 0.0582479815059123, 1, 0.0571352918848011, 1, 0.0559992664490986, 1, 0.0545151960344742, 1, 0.0524778844096558, 1, 0.0495515244912467, 1, 0.0455704441018668, 1, 0.0406129660713029, 1, 0.0349746944056548, 1, 0.0291293263767279, 1, 0.0236552723885336, 1, 0.0190406248379424, 1, 0.0155836992008754, 1, 0.0133530231470362, 1, 0.0121372034469481, 1, 0.0114999258403529, 1, 0.0107514250837696, 1, 0.00990387374222004, 1, 0.00944102738866133, 1, 0.00952993457067955, 1, 0.0100553458647544, 1, 0.010748753511342, 1, 0.0115069218130202, 1, 0.0122218209796644, 1, 0.0127813225058941, 1, 0.0129882215658813, 1, 0.0126358539555969, 1, 0.0118325758489222, 1, 0.0107358684530313, 1, 0.00974825633484331, 1, 0.00883815171617124, 1, 0.00795451127320121, 1, 0.474813339721955, 1, 0.439432207343025, 1, 0.404704579675745, 1, 0.371290038146746, 1, 0.339750204081794, 1, 0.310229756171823, 1, 0.282426193460573, 1, 0.256011302393311, 1, 0.230732843297559, 1, 0.20635688389345, 1, 0.183030864629351, 1, 0.161549838823146, 1, 0.142483373617182, 1, 0.12567050531604, 1, 0.111074166059907, 1, 0.0985115134424055, 1, 0.0876794670135153, 1, 0.0786330063373759, 1, 0.0714121008569693, 1, 0.065728312891847, 1, 0.0613149875074854, 1, 0.0579248613567178, 1, 0.0553532822590321, 1, 0.053480161165388, 1, 0.0520956483060528, 1, 0.0510672787322321, 1, 0.0501421098771147, 1, 0.0490872442736494, 1, 0.0479047992825853, 1, 0.0465819983744561, 1, 0.0448812327689728, 1, 0.0427429947917704, 1, 0.0403110997563418, 1, 0.0377429026005286, 1, 0.0350002312332498, 1, 0.0317081208199126, 1, 0.0276010903976929, 1, 0.0222867114510955, 1, 0.015998580697241, 1, 0.00951095166539377, 1, 0.00348416818854211, 1, -0.00185772394663211, 1, -0.00654403278732607, 1, -0.0104926386878161, 1, -0.0135588231897803, 1, -0.0156223250392156, 1, -0.0166930711510285, 1, -0.0167001568079916, 1, -0.0157313924872644, 1, -0.0143247937655567, 1, -0.0128375986661221, 1, 0.644199695027728, 1, 0.603981696037456, 1, 0.5643611526696, 1, 0.525361389905558, 1, 0.487007623252729, 1, 0.449701988497688, 1, 0.41415545614283, 1, 0.381198612316433, 1, 0.351415346183655, 1, 0.324962272763981, 1, 0.301605163057527, 1, 0.281095431067726, 1, 0.262848290079001, 1, 0.246027800671702, 1, 0.229909513171003, 1, 0.214548047788424, 1, 0.199950795549937, 1, 0.186161751092888, 1, 0.173158604519073, 1, 0.160451975613128, 1, 0.147541282261464, 1, 0.13459870833537, 1, 0.12215710720471, 1, 0.110782293581536, 1, 0.100657818431491, 1, 0.0911755294651866, 1, 0.0819294898704175, 1, 0.0721649302232357, 1, 0.0616457698127599, 1, 0.0510935868331744, 1, 0.0410831137520532, 1, 0.0325863993008917, 1, 0.0266812178306308, 1, 0.0238895094233347, 1, 0.0240587948015663, 1, 0.0264330138614034, 1, 0.0299770527154764, 1, 0.0332471597972266, 1, 0.0353463797969794, 1, 0.036352790024463, 1, 0.0361087294104063, 1, 0.0347359993756661, 1, 0.0327860553486338, 1, 0.0308730596686004, 1, 0.0291092951539227, 1, 0.0273388376096616, 1, 0.0252603985515936, 1, 0.0226888182170497, 1, 0.019383774710581, 1, 0.0153799656270892, 1, 0.0109044953704476), factors = list()), theta = c(1, 0, 1), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), Gp = c(0L, 6L), lower = c(0, -Inf, 0), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L), Dim = c(6L, 6L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), flist = list(id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L)), cnms = list(id = c("(Intercept)", "signal_rollmean")), Ztlist = list(`1 + signal_rollmean | id` = new("dgCMatrix", i = c(0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L), p = c(0L, 2L, 4L, 6L, 8L, 10L, 12L, 14L, 16L, 18L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 40L, 42L, 44L, 46L, 48L, 50L, 52L, 54L, 56L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 78L, 80L, 82L, 84L, 86L, 88L, 90L, 92L, 94L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 116L, 118L, 120L, 122L, 124L, 126L, 128L, 130L, 132L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L, 162L, 164L, 166L, 168L, 170L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 192L, 194L, 196L, 198L, 200L, 202L, 204L, 206L, 208L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 230L, 232L, 234L, 236L, 238L, 240L, 242L, 244L, 246L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 268L, 270L, 272L, 274L, 276L, 278L, 280L, 282L, 284L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 306L), Dim = c(6L, 153L), Dimnames = list(c("1", "1", "2", "2", "3", "3"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153")), x = c(1, 0.495901740514453, 1, 0.456667330730232, 1, 0.417440930273866, 1, 0.378607292857146, 1, 0.340659283349848, 1, 0.304063203449382, 1, 0.269103539496562, 1, 0.235856884459146, 1, 0.204850689401493, 1, 0.176697919999063, 1, 0.151476833072145, 1, 0.129383233319988, 1, 0.110581500927246, 1, 0.0950371687999673, 1, 0.0827187786774895, 1, 0.0734450392696856, 1, 0.066922705728226, 1, 0.0626956867588806, 1, 0.0599706925051169, 1, 0.0582479815059123, 1, 0.0571352918848011, 1, 0.0559992664490986, 1, 0.0545151960344742, 1, 0.0524778844096558, 1, 0.0495515244912467, 1, 0.0455704441018668, 1, 0.0406129660713029, 1, 0.0349746944056548, 1, 0.0291293263767279, 1, 0.0236552723885336, 1, 0.0190406248379424, 1, 0.0155836992008754, 1, 0.0133530231470362, 1, 0.0121372034469481, 1, 0.0114999258403529, 1, 0.0107514250837696, 1, 0.00990387374222004, 1, 0.00944102738866133, 1, 0.00952993457067955, 1, 0.0100553458647544, 1, 0.010748753511342, 1, 0.0115069218130202, 1, 0.0122218209796644, 1, 0.0127813225058941, 1, 0.0129882215658813, 1, 0.0126358539555969, 1, 0.0118325758489222, 1, 0.0107358684530313, 1, 0.00974825633484331, 1, 0.00883815171617124, 1, 0.00795451127320121, 1, 0.474813339721955, 1, 0.439432207343025, 1, 0.404704579675745, 1, 0.371290038146746, 1, 0.339750204081794, 1, 0.310229756171823, 1, 0.282426193460573, 1, 0.256011302393311, 1, 0.230732843297559, 1, 0.20635688389345, 1, 0.183030864629351, 1, 0.161549838823146, 1, 0.142483373617182, 1, 0.12567050531604, 1, 0.111074166059907, 1, 0.0985115134424055, 1, 0.0876794670135153, 1, 0.0786330063373759, 1, 0.0714121008569693, 1, 0.065728312891847, 1, 0.0613149875074854, 1, 0.0579248613567178, 1, 0.0553532822590321, 1, 0.053480161165388, 1, 0.0520956483060528, 1, 0.0510672787322321, 1, 0.0501421098771147, 1, 0.0490872442736494, 1, 0.0479047992825853, 1, 0.0465819983744561, 1, 0.0448812327689728, 1, 0.0427429947917704, 1, 0.0403110997563418, 1, 0.0377429026005286, 1, 0.0350002312332498, 1, 0.0317081208199126, 1, 0.0276010903976929, 1, 0.0222867114510955, 1, 0.015998580697241, 1, 0.00951095166539377, 1, 0.00348416818854211, 1, -0.00185772394663211, 1, -0.00654403278732607, 1, -0.0104926386878161, 1, -0.0135588231897803, 1, -0.0156223250392156, 1, -0.0166930711510285, 1, -0.0167001568079916, 1, -0.0157313924872644, 1, -0.0143247937655567, 1, -0.0128375986661221, 1, 0.644199695027728, 1, 0.603981696037456, 1, 0.5643611526696, 1, 0.525361389905558, 1, 0.487007623252729, 1, 0.449701988497688, 1, 0.41415545614283, 1, 0.381198612316433, 1, 0.351415346183655, 1, 0.324962272763981, 1, 0.301605163057527, 1, 0.281095431067726, 1, 0.262848290079001, 1, 0.246027800671702, 1, 0.229909513171003, 1, 0.214548047788424, 1, 0.199950795549937, 1, 0.186161751092888, 1, 0.173158604519073, 1, 0.160451975613128, 1, 0.147541282261464, 1, 0.13459870833537, 1, 0.12215710720471, 1, 0.110782293581536, 1, 0.100657818431491, 1, 0.0911755294651866, 1, 0.0819294898704175, 1, 0.0721649302232357, 1, 0.0616457698127599, 1, 0.0510935868331744, 1, 0.0410831137520532, 1, 0.0325863993008917, 1, 0.0266812178306308, 1, 0.0238895094233347, 1, 0.0240587948015663, 1, 0.0264330138614034, 1, 0.0299770527154764, 1, 0.0332471597972266, 1, 0.0353463797969794, 1, 0.036352790024463, 1, 0.0361087294104063, 1, 0.0347359993756661, 1, 0.0327860553486338, 1, 0.0308730596686004, 1, 0.0291092951539227, 1, 0.0273388376096616, 1, 0.0252603985515936, 1, 0.0226888182170497, 1, 0.019383774710581, 1, 0.0153799656270892, 1, 0.0109044953704476), factors = list())), nl = c(id = 3L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = FALSE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = signal_derivate1 ~ signal_rollmean + (1 + signal_rollmean | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 12: eval(expr, p) 13: eval(expr, p) 14: eval.parent(mc) 15: lmer(signal_derivate1 ~ signal_rollmean + (1 + signal_rollmean | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 16: doTryCatch(return(expr), name, parentenv, handler) 17: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 18: tryCatchList(expr, classes, parentenv, handlers) 19: tryCatch({ lmer(signal_derivate1 ~ signal_rollmean + (1 + signal_rollmean | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap"))}, error = function(e) e) 20: analyze.1order(data = data3, id = "id", time = "time", signal = "signal", dermethod = "fda", derparam = 0.7) 21: eval(expr, envir, enclos) 22: eval(expr, envir, enclos) 23: eval_with_user_handlers(expr, envir, enclos, user_handlers) 24: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)) 25: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler) 26: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)) 27: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))) 28: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing) 29: evaluate::evaluate(...) 30: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 31: in_dir(input_dir(), expr) 32: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 33: eng_r(options) 34: block_exec(params) 35: call_block(x) 36: process_group(group) 37: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 38: withCallingHandlers(expr, error = function(e) { loc = if (is.function(fun)) trimws(fun(label)) else "" if (loc != "") loc = sprintf(" at lines %s", loc) message(one_string(handler(e, loc)))}) 39: xfun:::handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) 40: process_file(text, output) 41: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 42: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 43: vweave_rmarkdown(...) 44: engine$weave(file, quiet = quiet, encoding = enc) 45: doTryCatch(return(expr), name, parentenv, handler) 46: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 47: tryCatchList(expr, classes, parentenv, handlers) 48: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 49: tools:::.buildOneVignette("first-order.Rmd", "/tmp/th798/16169352/R-release/342/doremi.Rcheck/vign_test/doremi", TRUE, FALSE, "first-order", "UTF-8", "/tmp/th798/16169352/Rtmp4s1hcX/file27d6933cd57836.rds") An irrecoverable exception occurred. R is aborting now ... sh: line 1: 2636283 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16169352/Rtmp4s1hcX/file27d693d62b7ea' 2>&1 < '/tmp/th798/16169352/Rtmp4s1hcX/file27d6932400242d' --- re-building 'second-order.Rmd' using rmarkdown *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 141L, 144L, 147L, 150L, 153L, 156L, 159L, 162L, 165L, 168L, 171L, 174L, 177L, 180L, 183L, 186L, 189L, 192L, 195L, 198L, 201L, 204L, 207L, 210L, 213L, 216L, 219L, 222L, 225L, 228L, 231L, 234L, 237L, 240L, 243L, 246L, 249L, 252L, 255L, 258L, 261L, 264L, 267L, 270L, 273L, 276L, 279L, 282L, 285L, 288L, 291L, 294L, 297L, 300L, 303L, 306L, 309L, 312L, 315L, 318L, 321L, 324L, 327L, 330L, 333L, 336L, 339L, 342L, 345L, 348L, 351L, 354L, 357L, 360L, 363L, 366L, 369L, 372L, 375L, 378L, 381L, 384L, 387L, 390L, 393L, 396L, 399L, 402L, 405L, 408L, 411L, 414L, 417L, 420L, 423L, 426L, 429L, 432L, 435L, 438L, 441L, 444L, 447L, 450L, 453L, 456L, 459L, 462L, 465L, 468L, 471L, 474L, 477L, 480L, 483L, 486L, 489L, 492L, 495L, 498L, 501L, 504L, 507L, 510L, 513L, 516L, 519L, 522L, 525L, 528L, 531L, 534L, 537L, 540L, 543L, 546L, 549L, 552L, 555L, 558L, 561L, 564L, 567L, 570L, 573L, 576L, 579L, 582L, 585L, 588L, 591L, 594L, 597L, 600L, 603L, 606L, 609L, 612L, 615L, 618L, 621L, 624L, 627L, 630L, 633L, 636L, 639L, 642L, 645L, 648L, 651L, 654L, 657L, 660L, 663L, 666L, 669L, 672L, 675L, 678L, 681L, 684L, 687L, 690L, 693L, 696L, 699L, 702L, 705L, 708L, 711L, 714L, 717L, 720L, 723L, 726L, 729L, 732L, 735L, 738L, 741L, 744L, 747L, 750L, 753L, 756L, 759L, 762L, 765L, 768L, 771L, 774L, 777L, 780L, 783L, 786L, 789L, 792L, 795L, 798L, 801L, 804L, 807L, 810L, 813L, 816L, 819L, 822L, 825L, 828L, 831L, 834L, 837L, 840L, 843L, 846L, 849L, 852L, 855L, 858L, 861L, 864L, 867L, 870L, 873L, 876L, 879L, 882L, 885L, 888L, 891L, 894L, 897L, 900L, 903L, 906L, 909L, 912L, 915L, 918L, 921L, 924L, 927L, 930L, 933L, 936L, 939L, 942L, 945L, 948L, 951L, 954L, 957L, 960L, 963L, 966L, 969L, 972L, 975L, 978L, 981L, 984L, 987L, 990L, 993L, 996L, 999L, 1002L, 1005L, 1008L, 1011L, 1014L, 1017L, 1020L, 1023L, 1026L, 1029L, 1032L, 1035L, 1038L, 1041L, 1044L, 1047L, 1050L, 1053L, 1056L, 1059L, 1062L, 1065L, 1068L, 1071L, 1074L, 1077L, 1080L, 1083L, 1086L, 1089L, 1092L, 1095L, 1098L, 1101L, 1104L, 1107L, 1110L, 1113L, 1116L, 1119L, 1122L, 1125L, 1128L, 1131L, 1134L, 1137L, 1140L, 1143L, 1146L, 1149L, 1152L, 1155L, 1158L, 1161L, 1164L, 1167L, 1170L, 1173L, 1176L, 1179L, 1182L, 1185L, 1188L, 1191L, 1194L, 1197L, 1200L, 1203L, 1206L, 1209L, 1212L, 1215L, 1218L, 1221L, 1224L, 1227L, 1230L, 1233L, 1236L, 1239L, 1242L, 1245L, 1248L, 1251L, 1254L, 1257L, 1260L, 1263L, 1266L, 1269L, 1272L, 1275L, 1278L, 1281L, 1284L, 1287L, 1290L, 1293L, 1296L, 1299L, 1302L, 1305L, 1308L, 1311L, 1314L, 1317L, 1320L, 1323L, 1326L, 1329L, 1332L, 1335L, 1338L, 1341L, 1344L, 1347L, 1350L, 1353L, 1356L, 1359L, 1362L, 1365L, 1368L, 1371L, 1374L, 1377L, 1380L, 1383L, 1386L, 1389L, 1392L, 1395L, 1398L, 1401L, 1404L, 1407L, 1410L, 1413L, 1416L, 1419L, 1422L, 1425L, 1428L, 1431L, 1434L, 1437L, 1440L, 1443L, 1446L, 1449L, 1452L, 1455L, 1458L, 1461L, 1464L, 1467L, 1470L, 1473L, 1476L, 1479L, 1482L, 1485L, 1488L, 1491L, 1494L, 1497L, 1500L, 1503L, 1506L, 1509L, 1512L, 1515L, 1518L, 1521L, 1524L, 1527L, 1530L, 1533L, 1536L, 1539L, 1542L, 1545L, 1548L, 1551L, 1554L, 1557L, 1560L, 1563L, 1566L, 1569L, 1572L, 1575L, 1578L, 1581L, 1584L, 1587L, 1590L, 1593L, 1596L, 1599L, 1602L), Dim = c(18L, 534L), Dimnames = list(c("1", "1", "1", "2", "2", "2", "3", "3", "3", "4", "4", "4", "5", "5", "5", "6", "6", "6"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "541", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", 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parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(signal_derivate2 = c(-0.138529790367782, 0.0266242413949501, 0.155202360913749, 0.139002329373805, 0.153577573001854, 0.15692259010168, 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12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 141L, 144L, 147L, 150L, 153L, 156L, 159L, 162L, 165L, 168L, 171L, 174L, 177L, 180L, 183L, 186L, 189L, 192L, 195L, 198L, 201L, 204L, 207L, 210L, 213L, 216L, 219L, 222L, 225L, 228L, 231L, 234L, 237L, 240L, 243L, 246L, 249L, 252L, 255L, 258L, 261L, 264L, 267L, 270L, 273L, 276L, 279L, 282L, 285L, 288L, 291L, 294L, 297L, 300L, 303L, 306L, 309L, 312L, 315L, 318L, 321L, 324L, 327L, 330L, 333L, 336L, 339L, 342L, 345L, 348L, 351L, 354L, 357L, 360L, 363L, 366L, 369L, 372L, 375L, 378L, 381L, 384L, 387L, 390L, 393L, 396L, 399L, 402L, 405L, 408L, 411L, 414L, 417L, 420L, 423L, 426L, 429L, 432L, 435L, 438L, 441L, 444L, 447L, 450L, 453L, 456L, 459L, 462L, 465L, 468L, 471L, 474L, 477L, 480L, 483L, 486L, 489L, 492L, 495L, 498L, 501L, 504L, 507L, 510L, 513L, 516L, 519L, 522L, 525L, 528L, 531L, 534L, 537L, 540L, 543L, 546L, 549L, 552L, 555L, 558L, 561L, 564L, 567L, 570L, 573L, 576L, 579L, 582L, 585L, 588L, 591L, 594L, 597L, 600L, 603L, 606L, 609L, 612L, 615L, 618L, 621L, 624L, 627L, 630L, 633L, 636L, 639L, 642L, 645L, 648L, 651L, 654L, 657L, 660L, 663L, 666L, 669L, 672L, 675L, 678L, 681L, 684L, 687L, 690L, 693L, 696L, 699L, 702L, 705L, 708L, 711L, 714L, 717L, 720L, 723L, 726L, 729L, 732L, 735L, 738L, 741L, 744L, 747L, 750L, 753L, 756L, 759L, 762L, 765L, 768L, 771L, 774L, 777L, 780L, 783L, 786L, 789L, 792L, 795L, 798L, 801L, 804L, 807L, 810L, 813L, 816L, 819L, 822L, 825L, 828L, 831L, 834L, 837L, 840L, 843L, 846L, 849L, 852L, 855L, 858L, 861L, 864L, 867L, 870L, 873L, 876L, 879L, 882L, 885L, 888L, 891L, 894L, 897L, 900L, 903L, 906L, 909L, 912L, 915L, 918L, 921L, 924L, 927L, 930L, 933L, 936L, 939L, 942L, 945L, 948L, 951L, 954L, 957L, 960L, 963L, 966L, 969L, 972L, 975L, 978L, 981L, 984L, 987L, 990L, 993L, 996L, 999L, 1002L, 1005L, 1008L, 1011L, 1014L, 1017L, 1020L, 1023L, 1026L, 1029L, 1032L, 1035L, 1038L, 1041L, 1044L, 1047L, 1050L, 1053L, 1056L, 1059L, 1062L, 1065L, 1068L, 1071L, 1074L, 1077L, 1080L, 1083L, 1086L, 1089L, 1092L, 1095L, 1098L, 1101L, 1104L, 1107L, 1110L, 1113L, 1116L, 1119L, 1122L, 1125L, 1128L, 1131L, 1134L, 1137L, 1140L, 1143L, 1146L, 1149L, 1152L, 1155L, 1158L, 1161L, 1164L, 1167L, 1170L, 1173L, 1176L, 1179L, 1182L, 1185L, 1188L, 1191L, 1194L, 1197L, 1200L, 1203L, 1206L, 1209L, 1212L, 1215L, 1218L, 1221L, 1224L, 1227L, 1230L, 1233L, 1236L, 1239L, 1242L, 1245L, 1248L, 1251L, 1254L, 1257L, 1260L, 1263L, 1266L, 1269L, 1272L, 1275L, 1278L, 1281L, 1284L, 1287L, 1290L, 1293L, 1296L, 1299L, 1302L, 1305L, 1308L, 1311L, 1314L, 1317L, 1320L, 1323L, 1326L, 1329L, 1332L, 1335L, 1338L, 1341L, 1344L, 1347L, 1350L, 1353L, 1356L, 1359L, 1362L, 1365L, 1368L, 1371L, 1374L, 1377L, 1380L, 1383L, 1386L, 1389L, 1392L, 1395L, 1398L, 1401L, 1404L, 1407L, 1410L, 1413L, 1416L, 1419L, 1422L, 1425L, 1428L, 1431L, 1434L, 1437L, 1440L, 1443L, 1446L, 1449L, 1452L, 1455L, 1458L, 1461L, 1464L, 1467L, 1470L, 1473L, 1476L, 1479L, 1482L, 1485L, 1488L, 1491L, 1494L, 1497L, 1500L, 1503L, 1506L, 1509L, 1512L, 1515L, 1518L, 1521L, 1524L, 1527L, 1530L, 1533L, 1536L, 1539L, 1542L, 1545L, 1548L, 1551L, 1554L, 1557L, 1560L, 1563L, 1566L, 1569L, 1572L, 1575L, 1578L, 1581L, 1584L, 1587L, 1590L, 1593L, 1596L, 1599L, 1602L), Dim = c(18L, 534L), Dimnames = list(c("1", "1", "1", "2", "2", "2", "3", "3", "3", "4", "4", "4", "5", "5", "5", "6", "6", "6"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", 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1, 0.440445311499866, -0.148053680514033, 1, 0.635404811191957, -0.0339625837048131, 1, 0.420715313489565, -0.0227275682473675, 1, 0.696740890248277, -0.00909736117825956, 1, 0.634214593665947, 0.00923441801349765, 1, 0.0882745377786037, 0.00853115295395779, 1, 0.163920889061202, 0.0576308681419825, 1, 0.314127183399332, 0.059323604959127, 1, 0.360064646149171, 0.0814476831932037, 1, 0.326333687405016, 0.190167893983035, 1, 0.763848565220622, 0.29441376961928, 1, 1.17360012980583, 0.3879977912251, 1, 1.70394858104834, 0.356516907992157, 1, 2.07143407427128, 0.317465516814448, 1, 2.60803305245292, 0.24711906527776, 1, 2.95838027009712, 0.262001309793821, 1, 3.14136437837802, 0.127935667717865, 1, 3.34816494546469, -0.0106968180873419, 1, 3.37152491161755, 0.0101519023880805, 1, 2.99068577013558, 0.0662745271425452, 1, 2.90181836245058, -1.64229356646068, 1, 0.612567785386182, -1.41046597898206, 1, -0.612565491067046, -1.23621533408587, 1, -1.89413176925601, -0.940521245699477, 1, -2.72714342783785, -0.738052722802075, 1, -3.50371302771793, -0.36762849820476, 1, -3.66566754768475, -0.0467001511961747, 1, -3.69006693394983, 0.323020718116352, 1, -2.52902394964874, 0.546781007159598, 1, -1.90502982606779, 0.695283141201593, 1, -0.664008057945516, 0.873178351972601, 1, 0.696340316661963, 1.00700394970783, 1, 1.67476157154901, 0.917939577266624, 1, 2.83217869028003, 0.852181488438803, 1, 4.13399427962797, 0.919438500483934, 1, 5.08900722985204, 0.663993492050026, 1, 5.62362721376945, 0.596176153228986, 1, 6.1001035918152, 0.245235907963445, 1, 6.33367060975615, 0.0759159762597188, 1, 6.17147144552789, -0.109911547536914, 1, 6.23836494486107, -0.185102680169413, 1, 5.68985622036268, -0.460743045021676, 1, 5.04505942927455, -0.591029738075275, 1, 4.051985665689, -0.651663858697861, 1, 3.4507704423106, -0.779805465528588, 1, 2.42896217962733, -0.831554544913172, 1, 1.10468361957057, -0.783520949620943, 1, 0.330198788222779, -0.653908370325166, 1, -0.903177488693382, -0.487883887664841, 1, -1.10603081214043, -0.196506223775576, 1, -1.42214142889778, -0.0895855612968204, 1, -1.15086178062052, -0.000809907117983209, 1, -0.94415911057151, 0.198963349694767, 1, -0.391015924526327, 0.363776637317045, 1, 0.115598497520258, 0.459741129520154, 1, 0.937242379766986, 0.481633280042936, 1, 1.73489399739603, 0.621529046427102, 1, 2.34521845180295, 0.488581742611558, 1, 2.67284410351834, 0.401125264225314, 1, 3.0270876910981, 0.378952777464629, 1, 3.33467425016743, 0.218968514175616, 1, 3.68098834260416, 0.233968729320375, 1, 4.26572807361687, 0.100550276397661, 1, 4.71854753881088, -0.133228471037291, 1, 3.9265819942054, -0.25387670962485, 1, 3.34547836884517, -0.258030804546967, 1, 2.94167065533109, -0.329661165885881, 1, 2.43941895435425, -0.318201177109891, 1, 1.96546126497443, -0.441655910637958, 1, 1.56959695158841, -0.373821381610136, 1, 1.17938041147782, -0.468816609376586, 1, 0.370740213007879, -0.310666715251724, 1, -0.019585740698588, -0.0708638814645966, 1, -0.117907330408146, 0.0522433088983187, 1, 0.49191769580045, 0.192017881550232, 1, 0.824761482622405, 0.216828626582315, 1, 0.859561242266335, 0.0488760942008569, 1, 0.945764037177494, 0.190374593542393, 1, 1.50987158798117, 0.282389413039915, 1, 1.97293500551043, 0.269217938940097, 1, 2.65017860449441, 0.24757689440994, 1, 2.64934529911032, 0.177382604755849, 1, 2.79572274393944, 0.114793901640449, 1, 2.24084768385607, -0.0492548000168206, 1, 2.25117717969332, -0.0881936807552672, 1, 2.06427996398743, 0.0853218537620441, 1, 2.3909600412421, 0.112722355872693, 1, 2.4396299858817, 0.138795746473681, 1, 3.09353791094958, -0.041261734086662, 1, 2.72303434350212, -0.16745286957516, 1, 2.76462182680025, -0.158032119157613, 1, 2.70798524351801, -0.214913130123171, 1, 2.09692472017047, -0.12555763106163, 1, 1.88923526267401, -0.249554695826986, 1, 1.46917170677881, -0.194369898367785, 1, 0.959712594759023, -0.137976232290559, 1, 0.761771086901308, -0.0940397975296971, 1, 0.537844997315571, -0.156915389739081, 1, 0.672644670314157, 0.0640557863604962, 1, 0.946543499126748, 0.14288443171293, 1, 1.81406497113656, 0.219702358071787, 1, 1.86393567160616, 0.0599609018428935, 1, 1.58860426341856, 0.206193901892882, 1, 1.89479898570547, 0.155584445102907, 1, 2.03047963610439, -0.00429214599633089, 1, 2.20274437544632, 0.135699959807315, 1, 1.93978432298276, 0.0745325342701068, 1, 2.1926269476036, 0.00773250077290647, 1, 2.52981912538039, -0.0502902923361319), factors = list()), theta = c(1, 0, 0, 1, 0, 1), Lind = c(1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L, 1L, 2L, 4L, 3L, 5L, 6L), Gp = c(0L, 18L), lower = c(0, -Inf, -Inf, 0, -Inf, 0 ), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 8L, 9L, 9L, 10L, 9L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 14L, 15L, 15L, 16L, 15L, 16L, 17L), p = c(0L, 1L, 3L, 6L, 7L, 9L, 12L, 13L, 15L, 18L, 19L, 21L, 24L, 25L, 27L, 30L, 31L, 33L, 36L), Dim = c(18L, 18L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1), factors = list()), flist = list( id = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L)), cnms = list(id = c("(Intercept)", "signal_rollmean", "signal_derivate1")), Ztlist = list(`1 + signal_rollmean + signal_derivate1 | id` = new("dgCMatrix", i = c(0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 3L, 4L, 5L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 6L, 7L, 8L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 9L, 10L, 11L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 12L, 13L, 14L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L, 15L, 16L, 17L), p = c(0L, 3L, 6L, 9L, 12L, 15L, 18L, 21L, 24L, 27L, 30L, 33L, 36L, 39L, 42L, 45L, 48L, 51L, 54L, 57L, 60L, 63L, 66L, 69L, 72L, 75L, 78L, 81L, 84L, 87L, 90L, 93L, 96L, 99L, 102L, 105L, 108L, 111L, 114L, 117L, 120L, 123L, 126L, 129L, 132L, 135L, 138L, 141L, 144L, 147L, 150L, 153L, 156L, 159L, 162L, 165L, 168L, 171L, 174L, 177L, 180L, 183L, 186L, 189L, 192L, 195L, 198L, 201L, 204L, 207L, 210L, 213L, 216L, 219L, 222L, 225L, 228L, 231L, 234L, 237L, 240L, 243L, 246L, 249L, 252L, 255L, 258L, 261L, 264L, 267L, 270L, 273L, 276L, 279L, 282L, 285L, 288L, 291L, 294L, 297L, 300L, 303L, 306L, 309L, 312L, 315L, 318L, 321L, 324L, 327L, 330L, 333L, 336L, 339L, 342L, 345L, 348L, 351L, 354L, 357L, 360L, 363L, 366L, 369L, 372L, 375L, 378L, 381L, 384L, 387L, 390L, 393L, 396L, 399L, 402L, 405L, 408L, 411L, 414L, 417L, 420L, 423L, 426L, 429L, 432L, 435L, 438L, 441L, 444L, 447L, 450L, 453L, 456L, 459L, 462L, 465L, 468L, 471L, 474L, 477L, 480L, 483L, 486L, 489L, 492L, 495L, 498L, 501L, 504L, 507L, 510L, 513L, 516L, 519L, 522L, 525L, 528L, 531L, 534L, 537L, 540L, 543L, 546L, 549L, 552L, 555L, 558L, 561L, 564L, 567L, 570L, 573L, 576L, 579L, 582L, 585L, 588L, 591L, 594L, 597L, 600L, 603L, 606L, 609L, 612L, 615L, 618L, 621L, 624L, 627L, 630L, 633L, 636L, 639L, 642L, 645L, 648L, 651L, 654L, 657L, 660L, 663L, 666L, 669L, 672L, 675L, 678L, 681L, 684L, 687L, 690L, 693L, 696L, 699L, 702L, 705L, 708L, 711L, 714L, 717L, 720L, 723L, 726L, 729L, 732L, 735L, 738L, 741L, 744L, 747L, 750L, 753L, 756L, 759L, 762L, 765L, 768L, 771L, 774L, 777L, 780L, 783L, 786L, 789L, 792L, 795L, 798L, 801L, 804L, 807L, 810L, 813L, 816L, 819L, 822L, 825L, 828L, 831L, 834L, 837L, 840L, 843L, 846L, 849L, 852L, 855L, 858L, 861L, 864L, 867L, 870L, 873L, 876L, 879L, 882L, 885L, 888L, 891L, 894L, 897L, 900L, 903L, 906L, 909L, 912L, 915L, 918L, 921L, 924L, 927L, 930L, 933L, 936L, 939L, 942L, 945L, 948L, 951L, 954L, 957L, 960L, 963L, 966L, 969L, 972L, 975L, 978L, 981L, 984L, 987L, 990L, 993L, 996L, 999L, 1002L, 1005L, 1008L, 1011L, 1014L, 1017L, 1020L, 1023L, 1026L, 1029L, 1032L, 1035L, 1038L, 1041L, 1044L, 1047L, 1050L, 1053L, 1056L, 1059L, 1062L, 1065L, 1068L, 1071L, 1074L, 1077L, 1080L, 1083L, 1086L, 1089L, 1092L, 1095L, 1098L, 1101L, 1104L, 1107L, 1110L, 1113L, 1116L, 1119L, 1122L, 1125L, 1128L, 1131L, 1134L, 1137L, 1140L, 1143L, 1146L, 1149L, 1152L, 1155L, 1158L, 1161L, 1164L, 1167L, 1170L, 1173L, 1176L, 1179L, 1182L, 1185L, 1188L, 1191L, 1194L, 1197L, 1200L, 1203L, 1206L, 1209L, 1212L, 1215L, 1218L, 1221L, 1224L, 1227L, 1230L, 1233L, 1236L, 1239L, 1242L, 1245L, 1248L, 1251L, 1254L, 1257L, 1260L, 1263L, 1266L, 1269L, 1272L, 1275L, 1278L, 1281L, 1284L, 1287L, 1290L, 1293L, 1296L, 1299L, 1302L, 1305L, 1308L, 1311L, 1314L, 1317L, 1320L, 1323L, 1326L, 1329L, 1332L, 1335L, 1338L, 1341L, 1344L, 1347L, 1350L, 1353L, 1356L, 1359L, 1362L, 1365L, 1368L, 1371L, 1374L, 1377L, 1380L, 1383L, 1386L, 1389L, 1392L, 1395L, 1398L, 1401L, 1404L, 1407L, 1410L, 1413L, 1416L, 1419L, 1422L, 1425L, 1428L, 1431L, 1434L, 1437L, 1440L, 1443L, 1446L, 1449L, 1452L, 1455L, 1458L, 1461L, 1464L, 1467L, 1470L, 1473L, 1476L, 1479L, 1482L, 1485L, 1488L, 1491L, 1494L, 1497L, 1500L, 1503L, 1506L, 1509L, 1512L, 1515L, 1518L, 1521L, 1524L, 1527L, 1530L, 1533L, 1536L, 1539L, 1542L, 1545L, 1548L, 1551L, 1554L, 1557L, 1560L, 1563L, 1566L, 1569L, 1572L, 1575L, 1578L, 1581L, 1584L, 1587L, 1590L, 1593L, 1596L, 1599L, 1602L), Dim = c(18L, 534L), Dimnames = list(c("1", "1", "1", "2", "2", "2", "3", "3", "3", "4", "4", "4", "5", "5", "5", "6", "6", "6"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "187", "188", "189", "190", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "268", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "279", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", 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1, 2.72303434350212, -0.16745286957516, 1, 2.76462182680025, -0.158032119157613, 1, 2.70798524351801, -0.214913130123171, 1, 2.09692472017047, -0.12555763106163, 1, 1.88923526267401, -0.249554695826986, 1, 1.46917170677881, -0.194369898367785, 1, 0.959712594759023, -0.137976232290559, 1, 0.761771086901308, -0.0940397975296971, 1, 0.537844997315571, -0.156915389739081, 1, 0.672644670314157, 0.0640557863604962, 1, 0.946543499126748, 0.14288443171293, 1, 1.81406497113656, 0.219702358071787, 1, 1.86393567160616, 0.0599609018428935, 1, 1.58860426341856, 0.206193901892882, 1, 1.89479898570547, 0.155584445102907, 1, 2.03047963610439, -0.00429214599633089, 1, 2.20274437544632, 0.135699959807315, 1, 1.93978432298276, 0.0745325342701068, 1, 2.1926269476036, 0.00773250077290647, 1, 2.52981912538039, -0.0502902923361319), factors = list())), nl = c(id = 6L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = FALSE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = signal_derivate2 ~ signal_derivate1 + signal_rollmean + (1 + signal_rollmean + signal_derivate1 | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 12: eval(expr, p) 13: eval(expr, p) 14: eval.parent(mc) 15: lmer(signal_derivate2 ~ signal_derivate1 + signal_rollmean + (1 + signal_rollmean + signal_derivate1 | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap")) 16: doTryCatch(return(expr), name, parentenv, handler) 17: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 18: tryCatchList(expr, classes, parentenv, handlers) 19: tryCatch({ lmer(signal_derivate2 ~ signal_derivate1 + signal_rollmean + (1 + signal_rollmean + signal_derivate1 | id), data = intdata, REML = TRUE, control = lmerControl(calc.derivs = FALSE, optimizer = "nloptwrap"))}, error = function(e) e) 20: analyze.2order(data = data1, id = "id", time = "time", signal = "signal", dermethod = "glla", derparam = 13, order = 2) 21: eval(expr, envir, enclos) 22: eval(expr, envir, enclos) 23: eval_with_user_handlers(expr, envir, enclos, user_handlers) 24: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)) 25: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler) 26: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)) 27: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))) 28: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing) 29: evaluate::evaluate(...) 30: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 31: in_dir(input_dir(), expr) 32: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 33: eng_r(options) 34: block_exec(params) 35: call_block(x) 36: process_group(group) 37: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 38: withCallingHandlers(expr, error = function(e) { loc = if (is.function(fun)) trimws(fun(label)) else "" if (loc != "") loc = sprintf(" at lines %s", loc) message(one_string(handler(e, loc)))}) 39: xfun:::handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc) 40: process_file(text, output) 41: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 42: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 43: vweave_rmarkdown(...) 44: engine$weave(file, quiet = quiet, encoding = enc) 45: doTryCatch(return(expr), name, parentenv, handler) 46: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 47: tryCatchList(expr, classes, parentenv, handlers) 48: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 49: tools:::.buildOneVignette("second-order.Rmd", "/tmp/th798/16169352/R-release/342/doremi.Rcheck/vign_test/doremi", TRUE, FALSE, "second-order", "UTF-8", "/tmp/th798/16169352/Rtmp4s1hcX/file27d693d21c051.rds") An irrecoverable exception occurred. R is aborting now ... SUMMARY: processing the following files failed: 'first-order.Rmd' 'second-order.Rmd' Error: Vignette re-building failed. Execution halted * checking PDF version of manual ... OK * DONE Status: 2 ERRORs, 3 NOTEs See '/tmp/th798/16169352/R-release/342/doremi.Rcheck/00check.log' for details. [1] "2025-03-28 01:02:51 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) --- R_version_4.4.3_2025-02-28/release_1.17.0.Rcheck/00check.log 2025-03-28 00:59:45.752894419 -0700 +++ R_version_4.4.3_2025-02-28/master_1.17.99.2cb03162a21328cc5f68a8c3b0e554f5edfcb5b9.Rcheck/00check.log 2025-03-28 01:02:51.648754793 -0700 @@ -138,7 +138,7 @@ --- re-building 'derivatives.Rmd' using rmarkdown --- finished re-building 'derivatives.Rmd' -sh: line 1: 2554036 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16169352/RtmpNOvEdd/file26ed845c5afe13' 2>&1 < '/tmp/th798/16169352/RtmpNOvEdd/file26ed842d038b12' +sh: line 1: 2617436 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16169352/Rtmp4s1hcX/file27d693130de815' 2>&1 < '/tmp/th798/16169352/Rtmp4s1hcX/file27d69374f84dde' --- re-building 'first-order.Rmd' using rmarkdown *** caught segfault *** @@ -193,9 +193,9 @@ 46: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 47: tryCatchList(expr, classes, parentenv, handlers) 48: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) -49: tools:::.buildOneVignette("first-order.Rmd", "/tmp/th798/16169352/R-release/342/doremi.Rcheck/vign_test/doremi", TRUE, FALSE, "first-order", "UTF-8", "/tmp/th798/16169352/RtmpNOvEdd/file26ed8433570b80.rds") +49: tools:::.buildOneVignette("first-order.Rmd", "/tmp/th798/16169352/R-release/342/doremi.Rcheck/vign_test/doremi", TRUE, FALSE, "first-order", "UTF-8", "/tmp/th798/16169352/Rtmp4s1hcX/file27d6933cd57836.rds") An irrecoverable exception occurred. R is aborting now ... -sh: line 1: 2556916 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16169352/RtmpNOvEdd/file26ed845220130a' 2>&1 < '/tmp/th798/16169352/RtmpNOvEdd/file26ed845e0f88c4' +sh: line 1: 2636283 Segmentation fault (core dumped) '/home/th798/R/R-release/bin/R' --vanilla --no-echo > '/tmp/th798/16169352/Rtmp4s1hcX/file27d693d62b7ea' 2>&1 < '/tmp/th798/16169352/Rtmp4s1hcX/file27d6932400242d' --- re-building 'second-order.Rmd' using rmarkdown *** caught segfault *** @@ -250,7 +250,7 @@ 46: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 47: tryCatchList(expr, classes, parentenv, handlers) 48: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) -49: tools:::.buildOneVignette("second-order.Rmd", "/tmp/th798/16169352/R-release/342/doremi.Rcheck/vign_test/doremi", TRUE, FALSE, "second-order", "UTF-8", "/tmp/th798/16169352/RtmpNOvEdd/file26ed8458c59757.rds") +49: tools:::.buildOneVignette("second-order.Rmd", "/tmp/th798/16169352/R-release/342/doremi.Rcheck/vign_test/doremi", TRUE, FALSE, "second-order", "UTF-8", "/tmp/th798/16169352/Rtmp4s1hcX/file27d693d21c051.rds") An irrecoverable exception occurred. R is aborting now ... SUMMARY: processing the following files failed: 'first-order.Rmd' 'second-order.Rmd' > library(data.table, lib.loc=R.home("library")) > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } >