* using log directory ‘/data/blackswan/ripley/R/packages/tests-devel/gmtFD.Rcheck’ * using R Under development (unstable) (2025-11-17 r89032) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3) GNU Fortran (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3) * running under: Fedora Linux 40 (Workstation Edition) * using session charset: UTF-8 * checking for file ‘gmtFD/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘gmtFD’ version ‘0.1.0’ * 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 ‘gmtFD’ can be installed ... [45s/36s] OK * used C++ compiler: ‘g++ (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3)’ * checking package 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 ... OK * 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 ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [17s/17s] OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd line widths ... 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 line endings in C/C++/Fortran sources/headers ... OK * checking line endings in Makefiles ... OK * checking compilation flags in Makevars ... OK * checking for GNU extensions in Makefiles ... OK * checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK * checking use of PKG_*FLAGS in Makefiles ... OK * checking use of SHLIB_OPENMP_*FLAGS in Makefiles ... OK * checking compilation flags used ... OK * checking compiled code ... OK * checking examples ... [22s/28s] OK * checking examples with --run-donttest ... [30m/38m] ERROR Running examples in ‘gmtFD-Ex.R’ failed The error most likely occurred in: > ### Name: summary.multifmanova > ### Title: Print "multifmanova" object > ### Aliases: summary.multifmanova > > ### ** Examples > > # Some of the examples may run some time. > > # Canadian weather data set > # There are three samples of mean temperature and precipitations for > # fifteen weather stations in Western Canada, another fifteen in Eastern Canada, > # and the remaining five in Northern Canada. > > # one functional variable - temperature > library(fda) Loading required package: splines Loading required package: fds Loading required package: rainbow Loading required package: MASS Loading required package: pcaPP Loading required package: RCurl Loading required package: deSolve Attaching package: ‘fda’ The following object is masked from ‘package:graphics’: matplot The following object is masked from ‘package:datasets’: gait > data_set_t <- t(CanadianWeather$dailyAv[,, "Temperature.C"]) > # number of samples > k <- 3 > # number of variables > p <- 1 > # preparing data set > gr_label <- rep(c(1, 2, 3), c(15, 15, 5)) > data_set <- list(list(data_set_t[gr_label == 1, ]), + list(data_set_t[gr_label == 2, ]), + list(data_set_t[gr_label == 3, ])) > > # Tukey's contrast matrix > h_tukey <- GFDmcv::contr_mat(k, type = "Tukey") > h_tukey_m <- kronecker(h_tukey, diag(p)) > # vector of blocks of contrasts labels > blocks_contrasts <- rep(1:(nrow(h_tukey_m) / p), each = p) > ## No test: > # testing without parallel computing > res <- gmtFD(data_set, h_tukey_m, blocks_contrasts) > summary(res, digits = 3) #--- General multiple tests for multivariate functional data ------------# - Number of variables: 1 - Number of samples: 3 - Number of observations in samples: 15 15 5 - Number of design time points: 365 - Significance level: 0.05 #--- Contrasts ----------------------------------------------------------# Contrast_1 S_1 S_2 S_3 1 -1 1 0 Contrast_2 S_1 S_2 S_3 1 -1 0 1 Contrast_3 S_1 S_2 S_3 1 0 -1 1 Legend: S_i - Sample_i #--- Overall results ----------------------------------------------------# statistic p.value decision GPH 16533.375 0 H1 mGPH 6.882 0 H1 SPH 215.256 0 H1 mSPH 9.550 0 H1 #--- Multiple contrast testing results ----------------------------------# contrast statistic test critical_value p.value decision 1 Contrast_1 902.053 GPH 1677.270 0.306 H0 2 mGPH 1626.997 0.219 H0 3 9.258 SPH 12.439 0.114 H0 4 mSPH 11.693 0.089 H0 5 Contrast_2 15463.161 GPH 2589.510 0.000 H1 6 mGPH 2247.054 0.000 H1 7 196.003 SPH 24.645 0.000 H1 8 mSPH 20.523 0.000 H1 9 Contrast_3 6875.551 GPH 2499.796 0.000 H1 10 mGPH 2304.670 0.000 H1 11 46.182 SPH 22.365 0.000 H1 12 mSPH 20.732 0.000 H1 #------------------------------------------------------------------------# > ## End(No test) > ## Don't show: > data_set <- list(list(data_set_t[gr_label == 1, 1:5]), + list(data_set_t[gr_label == 2, 1:5]), + list(data_set_t[gr_label == 3, 1:5])) > # testing without parallel computing > res <- gmtFD(data_set, h_tukey_m, blocks_contrasts) > summary(res, digits = 3) #--- General multiple tests for multivariate functional data ------------# - Number of variables: 1 - Number of samples: 3 - Number of observations in samples: 15 15 5 - Number of design time points: 5 - Significance level: 0.05 #--- Contrasts ----------------------------------------------------------# Contrast_1 S_1 S_2 S_3 1 -1 1 0 Contrast_2 S_1 S_2 S_3 1 -1 0 1 Contrast_3 S_1 S_2 S_3 1 0 -1 1 Legend: S_i - Sample_i #--- Overall results ----------------------------------------------------# statistic p.value decision GPH 552.230 0 H1 mGPH 17.312 0 H1 SPH 131.032 0 H1 mSPH 18.255 0 H1 #--- Multiple contrast testing results ----------------------------------# contrast statistic test critical_value p.value decision 1 Contrast_1 10.585 GPH 29.983 0.456 H0 2 mGPH 29.755 0.314 H0 3 2.735 SPH 6.359 0.372 H0 4 mSPH 6.247 0.263 H0 5 Contrast_2 513.725 GPH 30.577 0.000 H1 6 mGPH 29.675 0.000 H1 7 125.296 SPH 7.232 0.000 H1 8 mSPH 6.864 0.000 H1 9 Contrast_3 153.176 GPH 31.861 0.000 H1 10 mGPH 30.418 0.000 H1 11 33.505 SPH 7.414 0.000 H1 12 mSPH 7.116 0.000 H1 #------------------------------------------------------------------------# > ## End(Don't show) > # two functional variables - temperature and precipitation > library(fda) > data_set_t <- t(CanadianWeather$dailyAv[,, "Temperature.C"]) > data_set_p <- t(CanadianWeather$dailyAv[,, "Precipitation.mm"]) > # number of samples > k <- 3 > # number of variables > p <- 2 > # preparing data set > gr_label <- rep(c(1, 2, 3), c(15, 15, 5)) > data_set <- list(list(data_set_t[gr_label == 1, ], data_set_p[gr_label == 1, ]), + list(data_set_t[gr_label == 2, ], data_set_p[gr_label == 2, ]), + list(data_set_t[gr_label == 3, ], data_set_p[gr_label == 3, ])) > > # Tukey's contrast matrix > h_tukey <- GFDmcv::contr_mat(k, type = "Tukey") > h_tukey_m <- kronecker(h_tukey, diag(p)) > # vector of blocks of contrasts labels > blocks_contrasts <- rep(1:(nrow(h_tukey_m) / p), each = p) > ## No test: > # testing without parallel computing > res <- gmtFD(data_set, h_tukey_m, blocks_contrasts) * checking PDF version of manual ... OK * checking for non-standard things in the check directory ... OK * checking for detritus in the temp directory ... OK * checking for new files in some other directories ... OK * DONE Status: 1 ERROR See ‘/data/blackswan/ripley/R/packages/tests-devel/gmtFD.Rcheck/00check.log’ for details. Command exited with non-zero status 1 Time 40:36.16, 1917.98 + 42.04