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This page was generated on 2025-07-31 15:41 -0400 (Thu, 31 Jul 2025).
Hostname | OS | Arch (*) | R version | Installed pkgs |
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nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | 4.5.1 (2025-06-13) -- "Great Square Root" | 4796 |
Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X |
Package 377/429 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | ||||||||
spatialLIBD 1.21.5 (landing page) Leonardo Collado-Torres
| nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | OK | ![]() | |||||||
To the developers/maintainers of the spatialLIBD package: - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. |
Package: spatialLIBD |
Version: 1.21.5 |
Command: /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD check --install=check:spatialLIBD.install-out.txt --library=/home/biocbuild/bbs-3.22-bioc/R/site-library --timings spatialLIBD_1.21.5.tar.gz |
StartedAt: 2025-07-31 13:07:09 -0400 (Thu, 31 Jul 2025) |
EndedAt: 2025-07-31 13:25:40 -0400 (Thu, 31 Jul 2025) |
EllapsedTime: 1111.0 seconds |
RetCode: 0 |
Status: OK |
CheckDir: spatialLIBD.Rcheck |
Warnings: 0 |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD check --install=check:spatialLIBD.install-out.txt --library=/home/biocbuild/bbs-3.22-bioc/R/site-library --timings spatialLIBD_1.21.5.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/home/biocbuild/bbs-3.22-data-experiment/meat/spatialLIBD.Rcheck’ * using R version 4.5.1 (2025-06-13) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0 GNU Fortran (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0 * running under: Ubuntu 24.04.2 LTS * using session charset: UTF-8 * checking for file ‘spatialLIBD/DESCRIPTION’ ... OK * this is package ‘spatialLIBD’ version ‘1.21.5’ * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... INFO Imports includes 36 non-default packages. Importing from so many packages makes the package vulnerable to any of them becoming unavailable. Move as many as possible to Suggests and use conditionally. * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package ‘spatialLIBD’ 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 ... 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 ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: check_sce.Rd: SingleCellExperiment-class check_sce_layer.Rd: SingleCellExperiment-class fetch_data.Rd: SingleCellExperiment-class layer_boxplot.Rd: SingleCellExperiment-class read10xVisiumWrapper.Rd: SpatialExperiment-class run_app.Rd: SingleCellExperiment-class sce_to_spe.Rd: SingleCellExperiment-class sig_genes_extract.Rd: SingleCellExperiment-class sig_genes_extract_all.Rd: SingleCellExperiment-class Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages. * 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 files in ‘vignettes’ ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed vis_gene 26.939 2.256 29.733 vis_clus 20.464 1.718 22.684 add_images 20.229 1.841 23.766 img_update_all 18.870 1.289 20.329 add_qc_metrics 16.320 1.389 17.885 vis_grid_gene 15.931 1.717 18.230 vis_clus_p 16.130 1.455 18.141 vis_grid_clus 15.666 1.807 17.983 add_key 15.857 1.236 17.698 cluster_export 15.759 1.297 18.183 vis_image 15.493 1.545 18.098 cluster_import 15.801 1.207 17.531 vis_gene_p 14.682 1.244 16.440 img_edit 14.519 1.374 16.348 frame_limits 14.193 1.392 16.078 geom_spatial 14.368 1.139 15.998 img_update 14.259 1.204 15.947 check_spe 14.035 1.184 15.767 sce_to_spe 13.998 1.101 15.615 gene_set_enrichment_plot 7.889 0.314 8.538 * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘testthat.R’ OK * 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: 1 NOTE See ‘/home/biocbuild/bbs-3.22-data-experiment/meat/spatialLIBD.Rcheck/00check.log’ for details.
spatialLIBD.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.22-bioc/R/bin/R CMD INSTALL spatialLIBD ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.22-bioc/R/site-library’ * installing *source* package ‘spatialLIBD’ ... ** this is package ‘spatialLIBD’ version ‘1.21.5’ ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** 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 (spatialLIBD)
spatialLIBD.Rcheck/tests/testthat.Rout
R version 4.5.1 (2025-06-13) -- "Great Square Root" 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. > library(testthat) > library(spatialLIBD) Loading required package: SpatialExperiment Loading required package: SingleCellExperiment Loading required package: SummarizedExperiment Loading required package: MatrixGenerics Loading required package: matrixStats Attaching package: 'MatrixGenerics' The following objects are masked from 'package:matrixStats': colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse, colCounts, colCummaxs, colCummins, colCumprods, colCumsums, colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs, colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats, colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds, colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads, colWeightedMeans, colWeightedMedians, colWeightedSds, colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet, rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods, rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps, rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins, rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks, rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars, rowWeightedMads, rowWeightedMeans, rowWeightedMedians, rowWeightedSds, rowWeightedVars Loading required package: GenomicRanges Loading required package: stats4 Loading required package: BiocGenerics Loading required package: generics Attaching package: 'generics' The following objects are masked from 'package:base': as.difftime, as.factor, as.ordered, intersect, is.element, setdiff, setequal, union Attaching package: 'BiocGenerics' The following objects are masked from 'package:stats': IQR, mad, sd, var, xtabs The following objects are masked from 'package:base': Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append, as.data.frame, basename, cbind, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, saveRDS, table, tapply, unique, unsplit, which.max, which.min Loading required package: S4Vectors Attaching package: 'S4Vectors' The following object is masked from 'package:utils': findMatches The following objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Loading required package: Seqinfo Loading required package: Biobase Welcome to Bioconductor Vignettes contain introductory material; view with 'browseVignettes()'. To cite Bioconductor, see 'citation("Biobase")', and for packages 'citation("pkgname")'. Attaching package: 'Biobase' The following object is masked from 'package:MatrixGenerics': rowMedians The following objects are masked from 'package:matrixStats': anyMissing, rowMedians > > test_check("spatialLIBD") rgstr_> ## Ensure reproducibility of example data rgstr_> set.seed(20220907) rgstr_> ## Generate example data rgstr_> sce <- scuttle::mockSCE() rgstr_> ## Add some sample IDs rgstr_> sce$sample_id <- sample(LETTERS[1:5], ncol(sce), replace = TRUE) rgstr_> ## Add a sample-level covariate: age rgstr_> ages <- rnorm(5, mean = 20, sd = 4) rgstr_> names(ages) <- LETTERS[1:5] rgstr_> sce$age <- ages[sce$sample_id] rgstr_> ## Add gene-level information rgstr_> rowData(sce)$ensembl <- paste0("ENSG", seq_len(nrow(sce))) rgstr_> rowData(sce)$gene_name <- paste0("gene", seq_len(nrow(sce))) rgstr_> ## Pseudo-bulk by Cell Cycle rgstr_> sce_pseudo <- registration_pseudobulk( rgstr_+ sce, rgstr_+ var_registration = "Cell_Cycle", rgstr_+ var_sample_id = "sample_id", rgstr_+ covars = c("age"), rgstr_+ min_ncells = NULL rgstr_+ ) rgstr_> colData(sce_pseudo) DataFrame with 20 rows and 9 columns Mutation_Status Cell_Cycle Treatment sample_id age <character> <character> <character> <character> <numeric> A_G0 NA G0 NA A 19.1872 B_G0 NA G0 NA B 25.3496 C_G0 NA G0 NA C 24.1802 D_G0 NA G0 NA D 15.5211 E_G0 NA G0 NA E 20.9701 ... ... ... ... ... ... A_S NA S NA A 19.1872 B_S NA S NA B 25.3496 C_S NA S NA C 24.1802 D_S NA S NA D 15.5211 E_S NA S NA E 20.9701 registration_variable registration_sample_id ncells pseudo_sum_umi <character> <character> <integer> <numeric> A_G0 G0 A 8 2946915 B_G0 G0 B 13 4922867 C_G0 G0 C 9 3398888 D_G0 G0 D 7 2630651 E_G0 G0 E 10 3761710 ... ... ... ... ... A_S S A 12 4516334 B_S S B 8 2960685 C_S S C 7 2595774 D_S S D 14 5233560 E_S S E 11 4151818 rgstr_> ## Ensure reproducibility of example data rgstr_> set.seed(20220907) rgstr_> ## Generate example data rgstr_> sce <- scuttle::mockSCE() rgstr_> ## Add some sample IDs rgstr_> sce$sample_id <- sample(LETTERS[1:5], ncol(sce), replace = TRUE) rgstr_> ## Add a sample-level covariate: age rgstr_> ages <- rnorm(5, mean = 20, sd = 4) rgstr_> names(ages) <- LETTERS[1:5] rgstr_> sce$age <- ages[sce$sample_id] rgstr_> ## Add gene-level information rgstr_> rowData(sce)$ensembl <- paste0("ENSG", seq_len(nrow(sce))) rgstr_> rowData(sce)$gene_name <- paste0("gene", seq_len(nrow(sce))) rgstr_> ## Pseudo-bulk by Cell Cycle rgstr_> sce_pseudo <- registration_pseudobulk( rgstr_+ sce, rgstr_+ var_registration = "Cell_Cycle", rgstr_+ var_sample_id = "sample_id", rgstr_+ covars = c("age"), rgstr_+ min_ncells = NULL rgstr_+ ) rgstr_> colData(sce_pseudo) DataFrame with 20 rows and 9 columns Mutation_Status Cell_Cycle Treatment sample_id age <character> <character> <character> <character> <numeric> A_G0 NA G0 NA A 19.1872 B_G0 NA G0 NA B 25.3496 C_G0 NA G0 NA C 24.1802 D_G0 NA G0 NA D 15.5211 E_G0 NA G0 NA E 20.9701 ... ... ... ... ... ... A_S NA S NA A 19.1872 B_S NA S NA B 25.3496 C_S NA S NA C 24.1802 D_S NA S NA D 15.5211 E_S NA S NA E 20.9701 registration_variable registration_sample_id ncells pseudo_sum_umi <character> <character> <integer> <numeric> A_G0 G0 A 8 2946915 B_G0 G0 B 13 4922867 C_G0 G0 C 9 3398888 D_G0 G0 D 7 2630651 E_G0 G0 E 10 3761710 ... ... ... ... ... A_S S A 12 4516334 B_S S B 8 2960685 C_S S C 7 2595774 D_S S D 14 5233560 E_S S E 11 4151818 rgst__> example("registration_model", package = "spatialLIBD") rgstr_> example("registration_pseudobulk", package = "spatialLIBD") rgstr_> ## Ensure reproducibility of example data rgstr_> set.seed(20220907) rgstr_> ## Generate example data rgstr_> sce <- scuttle::mockSCE() rgstr_> ## Add some sample IDs rgstr_> sce$sample_id <- sample(LETTERS[1:5], ncol(sce), replace = TRUE) rgstr_> ## Add a sample-level covariate: age rgstr_> ages <- rnorm(5, mean = 20, sd = 4) rgstr_> names(ages) <- LETTERS[1:5] rgstr_> sce$age <- ages[sce$sample_id] rgstr_> ## Add gene-level information rgstr_> rowData(sce)$ensembl <- paste0("ENSG", seq_len(nrow(sce))) rgstr_> rowData(sce)$gene_name <- paste0("gene", seq_len(nrow(sce))) rgstr_> ## Pseudo-bulk by Cell Cycle rgstr_> sce_pseudo <- registration_pseudobulk( rgstr_+ sce, rgstr_+ var_registration = "Cell_Cycle", rgstr_+ var_sample_id = "sample_id", rgstr_+ covars = c("age"), rgstr_+ min_ncells = NULL rgstr_+ ) rgstr_> colData(sce_pseudo) DataFrame with 20 rows and 9 columns Mutation_Status Cell_Cycle Treatment sample_id age <character> <character> <character> <character> <numeric> A_G0 NA G0 NA A 19.1872 B_G0 NA G0 NA B 25.3496 C_G0 NA G0 NA C 24.1802 D_G0 NA G0 NA D 15.5211 E_G0 NA G0 NA E 20.9701 ... ... ... ... ... ... A_S NA S NA A 19.1872 B_S NA S NA B 25.3496 C_S NA S NA C 24.1802 D_S NA S NA D 15.5211 E_S NA S NA E 20.9701 registration_variable registration_sample_id ncells pseudo_sum_umi <character> <character> <integer> <numeric> A_G0 G0 A 8 2946915 B_G0 G0 B 13 4922867 C_G0 G0 C 9 3398888 D_G0 G0 D 7 2630651 E_G0 G0 E 10 3761710 ... ... ... ... ... A_S S A 12 4516334 B_S S B 8 2960685 C_S S C 7 2595774 D_S S D 14 5233560 E_S S E 11 4151818 rgstr_> registration_mod <- registration_model(sce_pseudo, "age") rgstr_> head(registration_mod) registration_variableG0 registration_variableG1 registration_variableG2M A_G0 1 0 0 B_G0 1 0 0 C_G0 1 0 0 D_G0 1 0 0 E_G0 1 0 0 A_G1 0 1 0 registration_variableS age A_G0 0 19.18719 B_G0 0 25.34965 C_G0 0 24.18019 D_G0 0 15.52107 E_G0 0 20.97006 A_G1 0 19.18719 rgst__> block_cor <- registration_block_cor(sce_pseudo, registration_mod) [ FAIL 0 | WARN 0 | SKIP 0 | PASS 47 ] > > proc.time() user system elapsed 109.887 7.037 120.025
spatialLIBD.Rcheck/spatialLIBD-Ex.timings
name | user | system | elapsed | |
add10xVisiumAnalysis | 0 | 0 | 0 | |
add_images | 20.229 | 1.841 | 23.766 | |
add_key | 15.857 | 1.236 | 17.698 | |
add_qc_metrics | 16.320 | 1.389 | 17.885 | |
annotate_registered_clusters | 1.164 | 0.035 | 1.374 | |
check_modeling_results | 1.134 | 0.067 | 1.374 | |
check_sce | 3.398 | 0.132 | 3.691 | |
check_sce_layer | 1.150 | 0.031 | 1.339 | |
check_spe | 14.035 | 1.184 | 15.767 | |
cluster_export | 15.759 | 1.297 | 18.183 | |
cluster_import | 15.801 | 1.207 | 17.531 | |
enough_ram | 0.004 | 0.003 | 0.007 | |
fetch_data | 1.185 | 0.047 | 1.308 | |
frame_limits | 14.193 | 1.392 | 16.078 | |
gene_set_enrichment | 1.214 | 0.047 | 1.435 | |
gene_set_enrichment_plot | 7.889 | 0.314 | 8.538 | |
geom_spatial | 14.368 | 1.139 | 15.998 | |
get_colors | 1.207 | 0.031 | 1.415 | |
img_edit | 14.519 | 1.374 | 16.348 | |
img_update | 14.259 | 1.204 | 15.947 | |
img_update_all | 18.870 | 1.289 | 20.329 | |
layer_boxplot | 3.068 | 0.061 | 3.465 | |
layer_stat_cor | 1.114 | 0.032 | 1.306 | |
layer_stat_cor_plot | 4.094 | 0.212 | 4.637 | |
locate_images | 0 | 0 | 0 | |
read10xVisiumAnalysis | 0 | 0 | 0 | |
read10xVisiumWrapper | 0 | 0 | 0 | |
registration_block_cor | 2.666 | 0.008 | 2.674 | |
registration_model | 0.664 | 0.004 | 0.667 | |
registration_pseudobulk | 0.62 | 0.00 | 0.62 | |
registration_stats_anova | 2.807 | 0.001 | 2.811 | |
registration_stats_enrichment | 2.936 | 0.016 | 2.952 | |
registration_stats_pairwise | 2.795 | 0.004 | 2.799 | |
registration_wrapper | 4.318 | 0.034 | 4.352 | |
run_app | 0 | 0 | 0 | |
sce_to_spe | 13.998 | 1.101 | 15.615 | |
sig_genes_extract | 2.553 | 0.132 | 3.048 | |
sig_genes_extract_all | 3.167 | 0.054 | 3.448 | |
sort_clusters | 0.008 | 0.000 | 0.008 | |
vis_clus | 20.464 | 1.718 | 22.684 | |
vis_clus_p | 16.130 | 1.455 | 18.141 | |
vis_gene | 26.939 | 2.256 | 29.733 | |
vis_gene_p | 14.682 | 1.244 | 16.440 | |
vis_grid_clus | 15.666 | 1.807 | 17.983 | |
vis_grid_gene | 15.931 | 1.717 | 18.230 | |
vis_image | 15.493 | 1.545 | 18.098 | |