Back to Multiple platform build/check report for BioC 3.20: simplified long |
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This page was generated on 2024-12-23 12:06 -0500 (Mon, 23 Dec 2024).
Hostname | OS | Arch (*) | R version | Installed pkgs |
---|---|---|---|---|
nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | 4.4.2 (2024-10-31) -- "Pile of Leaves" | 4744 |
palomino8 | Windows Server 2022 Datacenter | x64 | 4.4.2 (2024-10-31 ucrt) -- "Pile of Leaves" | 4487 |
merida1 | macOS 12.7.5 Monterey | x86_64 | 4.4.2 (2024-10-31) -- "Pile of Leaves" | 4515 |
kjohnson1 | macOS 13.6.6 Ventura | arm64 | 4.4.2 (2024-10-31) -- "Pile of Leaves" | 4467 |
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 1375/2289 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
multiWGCNA 1.4.0 (landing page) Dario Tommasini
| nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | OK | |||||||||
palomino8 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | |||||||||
merida1 | macOS 12.7.5 Monterey / x86_64 | OK | OK | OK | OK | |||||||||
kjohnson1 | macOS 13.6.6 Ventura / arm64 | OK | OK | OK | OK | |||||||||
To the developers/maintainers of the multiWGCNA package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/multiWGCNA.git to reflect on this report. See Troubleshooting Build Report for more information. - 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: multiWGCNA |
Version: 1.4.0 |
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:multiWGCNA.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings multiWGCNA_1.4.0.tar.gz |
StartedAt: 2024-12-20 06:43:26 -0500 (Fri, 20 Dec 2024) |
EndedAt: 2024-12-20 07:00:57 -0500 (Fri, 20 Dec 2024) |
EllapsedTime: 1050.9 seconds |
RetCode: 0 |
Status: OK |
CheckDir: multiWGCNA.Rcheck |
Warnings: 0 |
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:multiWGCNA.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings multiWGCNA_1.4.0.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/Users/biocbuild/bbs-3.20-bioc/meat/multiWGCNA.Rcheck’ * using R version 4.4.2 (2024-10-31) * using platform: x86_64-apple-darwin20 * R was compiled by Apple clang version 14.0.0 (clang-1400.0.29.202) GNU Fortran (GCC) 12.2.0 * running under: macOS Monterey 12.7.6 * using session charset: UTF-8 * using option ‘--no-vignettes’ * checking for file ‘multiWGCNA/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘multiWGCNA’ version ‘1.4.0’ * 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 hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package ‘multiWGCNA’ 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 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 ... NOTE TOMFlowPlot: no visible global function definition for ‘as.dist’ TOMFlowPlot: no visible binding for global variable ‘module’ TOMFlowPlot: no visible binding for global variable ‘Count’ TOMFlowPlot: no visible binding for global variable ‘one.gene’ TOMFlowPlot: no visible binding for global variable ‘two.gene’ TOMFlowPlot: no visible binding for global variable ‘stratum’ bidirectionalBestMatches: no visible binding for global variable ‘mod1’ bidirectionalBestMatches: no visible binding for global variable ‘mod2’ bidirectionalBestMatches: no visible binding for global variable ‘overlap’ coexpressionLineGraph: no visible binding for global variable ‘Var1’ coexpressionLineGraph: no visible binding for global variable ‘value’ coexpressionLineGraph: no visible binding for global variable ‘Var2’ computeOverlapsFromWGCNA: no visible binding for global variable ‘mod1’ computeOverlapsFromWGCNA: no visible binding for global variable ‘mod2’ continuousFlowPlot: no visible global function definition for ‘ulist’ continuousFlowPlot: no visible binding for global variable ‘uniqueSortedData’ continuousFlowPlot: no visible binding for global variable ‘stratum’ continuousFlowPlot: no visible global function definition for ‘error’ correlationComparisonBoxplot: no visible binding for global variable ‘Status’ correlationComparisonBoxplot: no visible binding for global variable ‘Correlation’ correlationComparisonHeatmaps: no visible binding for global variable ‘Var1’ correlationComparisonHeatmaps: no visible binding for global variable ‘Var2’ correlationComparisonHeatmaps: no visible binding for global variable ‘value’ diffCoexpression: no visible binding for global variable ‘layout_with_fr’ diffCoexpression: no visible binding for global variable ‘p.adj’ diffModuleExpression: no visible binding for global variable ‘Sample’ drawNetwork: no visible binding for global variable ‘layout_with_fr’ expressionHeatmap: no visible binding for global variable ‘Sample’ expressionHeatmap: no visible binding for global variable ‘Gene’ expressionHeatmap: no visible binding for global variable ‘Zscore’ findOutlierModules: no visible global function definition for ‘zScoreMatrix’ getPreservation: no visible binding for global variable ‘name2’ moduleComparisonPlot: no visible binding for global variable ‘overlap’ moduleComparisonPlot: no visible binding for global variable ‘mod1’ moduleComparisonPlot: no visible binding for global variable ‘mod2’ moduleComparisonPlot: no visible binding for global variable ‘p.adj’ moduleComparisonPlot: no visible binding for global variable ‘stratum’ moduleExpressionPlot: no visible binding for global variable ‘Sample’ moduleExpressionPlot: no visible binding for global variable ‘Expression’ moduleToModuleHeatmap: no visible binding for global variable ‘mod1’ moduleToModuleHeatmap: no visible binding for global variable ‘mod2’ moduleToModuleHeatmap: no visible binding for global variable ‘p.adj’ moduleToModuleHeatmap: no visible binding for global variable ‘overlap’ preservationComparisonPlot: no visible binding for global variable ‘log10Pvalue’ preservationComparisonPlot: no visible binding for global variable ‘Zsum’ preservationComparisonPlot: no visible binding for global variable ‘trait’ preservationComparisonPlot: no visible binding for global variable ‘Module’ topNGenes: no visible binding for global variable ‘kWithin’ Undefined global functions or variables: Correlation Count Expression Gene Module Sample Status Var1 Var2 Zscore Zsum as.dist error kWithin layout_with_fr log10Pvalue mod1 mod2 module name2 one.gene overlap p.adj stratum trait two.gene ulist uniqueSortedData value zScoreMatrix Consider adding importFrom("stats", "as.dist") to your NAMESPACE file. * checking Rd files ... OK * 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 files in ‘vignettes’ ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed preservationComparisonPlot 113.675 9.737 126.602 preservationComparisons 107.627 10.205 126.217 constructNetworks 40.892 0.414 42.213 moduleComparisonPlot 33.219 0.533 34.470 iterate 18.640 5.813 24.782 drawMultiWGCNAnetwork 19.834 0.669 21.370 runDME 16.399 0.909 24.695 overlapComparisons 16.532 0.432 17.343 GetDatExpr 10.222 1.569 12.590 diffModuleExpression 8.442 0.415 9.262 bidirectionalBestMatches 6.369 0.348 7.336 moduleToModuleHeatmap 6.221 0.271 6.914 moduleExpressionPlot 6.014 0.295 6.998 cleanDatExpr 3.939 1.884 6.401 computeOverlapsFromWGCNA 5.042 0.590 5.891 coexpressionLineGraph 4.715 0.262 5.473 * 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 running R code from vignettes ... SKIPPED * checking re-building of vignette outputs ... SKIPPED * checking PDF version of manual ... OK * DONE Status: 1 NOTE See ‘/Users/biocbuild/bbs-3.20-bioc/meat/multiWGCNA.Rcheck/00check.log’ for details.
multiWGCNA.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL multiWGCNA ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/library’ * installing *source* package ‘multiWGCNA’ ... ** 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 (multiWGCNA)
multiWGCNA.Rcheck/tests/testthat.Rout
R version 4.4.2 (2024-10-31) -- "Pile of Leaves" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-apple-darwin20 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. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(multiWGCNA) Loading required package: ggalluvial Loading required package: ggplot2 > > test_check("multiWGCNA") Loading required package: BiocGenerics 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, intersect, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, saveRDS, setdiff, table, tapply, union, unique, unsplit, which.max, which.min Loading required package: AnnotationHub Loading required package: BiocFileCache Loading required package: dbplyr multiWGCNAdata not installed. Full functionality, documentation, and loading of data might not be possible without installing loading from cache require("SummarizedExperiment") Flagging genes and samples with too many missing values... ..step 1 Calculating module eigengenes block-wise from all genes Flagging genes and samples with too many missing values... ..step 1 ..Working on block 1 . TOM calculation: adjacency.. ..will not use multithreading. Fraction of slow calculations: 0.000000 ..connectivity.. ..matrix multiplication (system BLAS).. ..normalization.. ..done. ....clustering.. ....detecting modules.. ....calculating module eigengenes.. ....checking kME in modules.. ..removing 163 genes from module 1 because their KME is too low. ..removing 126 genes from module 2 because their KME is too low. ..removing 59 genes from module 3 because their KME is too low. ..removing 18 genes from module 4 because their KME is too low. ..removing 28 genes from module 5 because their KME is too low. ..removing 24 genes from module 6 because their KME is too low. ..removing 9 genes from module 7 because their KME is too low. ..merging modules that are too close.. mergeCloseModules: Merging modules whose distance is less than 0.1 Calculating new MEs... softConnectivity: FYI: connecitivty of genes with less than 20 valid samples will be returned as NA. ..calculating connectivities.. Flagging genes and samples with too many missing values... ..step 1 Calculating module eigengenes block-wise from all genes Flagging genes and samples with too many missing values... ..step 1 ..Working on block 1 . TOM calculation: adjacency.. ..will not use multithreading. Fraction of slow calculations: 0.000000 ..connectivity.. ..matrix multiplication (system BLAS).. ..normalization.. ..done. ....clustering.. ....detecting modules.. ....calculating module eigengenes.. ....checking kME in modules.. ..removing 139 genes from module 1 because their KME is too low. ..removing 82 genes from module 2 because their KME is too low. ..removing 95 genes from module 3 because their KME is too low. ..removing 37 genes from module 4 because their KME is too low. ..removing 35 genes from module 5 because their KME is too low. ..removing 36 genes from module 6 because their KME is too low. ..removing 27 genes from module 7 because their KME is too low. ..merging modules that are too close.. mergeCloseModules: Merging modules whose distance is less than 0.1 Calculating new MEs... softConnectivity: FYI: connecitivty of genes with less than 10 valid samples will be returned as NA. ..calculating connectivities.. Flagging genes and samples with too many missing values... ..step 1 Calculating module eigengenes block-wise from all genes Flagging genes and samples with too many missing values... ..step 1 ..Working on block 1 . TOM calculation: adjacency.. ..will not use multithreading. Fraction of slow calculations: 0.000000 ..connectivity.. ..matrix multiplication (system BLAS).. ..normalization.. ..done. ....clustering.. ....detecting modules.. ....calculating module eigengenes.. ....checking kME in modules.. ..removing 164 genes from module 1 because their KME is too low. ..removing 138 genes from module 2 because their KME is too low. ..removing 86 genes from module 3 because their KME is too low. ..removing 33 genes from module 4 because their KME is too low. ..removing 35 genes from module 5 because their KME is too low. ..removing 34 genes from module 6 because their KME is too low. ..removing 19 genes from module 7 because their KME is too low. ..merging modules that are too close.. mergeCloseModules: Merging modules whose distance is less than 0.1 Calculating new MEs... softConnectivity: FYI: connecitivty of genes with less than 11 valid samples will be returned as NA. ..calculating connectivities.. Flagging genes and samples with too many missing values... ..step 1 Calculating module eigengenes block-wise from all genes Flagging genes and samples with too many missing values... ..step 1 ..Working on block 1 . TOM calculation: adjacency.. ..will not use multithreading. Fraction of slow calculations: 0.000000 ..connectivity.. ..matrix multiplication (system BLAS).. ..normalization.. ..done. ....clustering.. ....detecting modules.. ....calculating module eigengenes.. ....checking kME in modules.. ..removing 163 genes from module 1 because their KME is too low. ..removing 126 genes from module 2 because their KME is too low. ..removing 59 genes from module 3 because their KME is too low. ..removing 18 genes from module 4 because their KME is too low. ..removing 28 genes from module 5 because their KME is too low. ..removing 24 genes from module 6 because their KME is too low. ..removing 9 genes from module 7 because their KME is too low. ..merging modules that are too close.. mergeCloseModules: Merging modules whose distance is less than 0.1 Calculating new MEs... softConnectivity: FYI: connecitivty of genes with less than 20 valid samples will be returned as NA. ..calculating connectivities.. Flagging genes and samples with too many missing values... ..step 1 Calculating module eigengenes block-wise from all genes Flagging genes and samples with too many missing values... ..step 1 ..Working on block 1 . TOM calculation: adjacency.. ..will not use multithreading. Fraction of slow calculations: 0.000000 ..connectivity.. ..matrix multiplication (system BLAS).. ..normalization.. ..done. ....clustering.. ....detecting modules.. ....calculating module eigengenes.. ....checking kME in modules.. ..removing 139 genes from module 1 because their KME is too low. ..removing 82 genes from module 2 because their KME is too low. ..removing 95 genes from module 3 because their KME is too low. ..removing 37 genes from module 4 because their KME is too low. ..removing 35 genes from module 5 because their KME is too low. ..removing 36 genes from module 6 because their KME is too low. ..removing 27 genes from module 7 because their KME is too low. ..merging modules that are too close.. mergeCloseModules: Merging modules whose distance is less than 0.1 Calculating new MEs... softConnectivity: FYI: connecitivty of genes with less than 10 valid samples will be returned as NA. ..calculating connectivities.. Flagging genes and samples with too many missing values... ..step 1 Calculating module eigengenes block-wise from all genes Flagging genes and samples with too many missing values... ..step 1 ..Working on block 1 . TOM calculation: adjacency.. ..will not use multithreading. Fraction of slow calculations: 0.000000 ..connectivity.. ..matrix multiplication (system BLAS).. ..normalization.. ..done. ....clustering.. ....detecting modules.. ....calculating module eigengenes.. ....checking kME in modules.. ..removing 164 genes from module 1 because their KME is too low. ..removing 138 genes from module 2 because their KME is too low. ..removing 86 genes from module 3 because their KME is too low. ..removing 33 genes from module 4 because their KME is too low. ..removing 35 genes from module 5 because their KME is too low. ..removing 34 genes from module 6 because their KME is too low. ..removing 19 genes from module 7 because their KME is too low. ..merging modules that are too close.. mergeCloseModules: Merging modules whose distance is less than 0.1 Calculating new MEs... softConnectivity: FYI: connecitivty of genes with less than 11 valid samples will be returned as NA. ..calculating connectivities.. [ FAIL 0 | WARN 0 | SKIP 0 | PASS 2 ] > > proc.time() user system elapsed 136.627 3.361 143.259
multiWGCNA.Rcheck/multiWGCNA-Ex.timings
name | user | system | elapsed | |
GetDatExpr | 10.222 | 1.569 | 12.590 | |
PreservationPermutationTest | 0.001 | 0.001 | 0.001 | |
PreservationScoreDistribution | 0.073 | 0.003 | 0.076 | |
bidirectionalBestMatches | 6.369 | 0.348 | 7.336 | |
cleanDatExpr | 3.939 | 1.884 | 6.401 | |
coexpressionLineGraph | 4.715 | 0.262 | 5.473 | |
computeOverlapsFromWGCNA | 5.042 | 0.590 | 5.891 | |
constructNetworks | 40.892 | 0.414 | 42.213 | |
diffCoexpression | 3.358 | 0.276 | 3.954 | |
diffModuleExpression | 8.442 | 0.415 | 9.262 | |
drawMultiWGCNAnetwork | 19.834 | 0.669 | 21.370 | |
iterate | 18.640 | 5.813 | 24.782 | |
makeTraitTable | 0.005 | 0.002 | 0.007 | |
moduleComparisonPlot | 33.219 | 0.533 | 34.470 | |
moduleExpressionPlot | 6.014 | 0.295 | 6.998 | |
moduleToModuleHeatmap | 6.221 | 0.271 | 6.914 | |
name | 4.116 | 0.237 | 4.676 | |
overlapComparisons | 16.532 | 0.432 | 17.343 | |
preservationComparisonPlot | 113.675 | 9.737 | 126.602 | |
preservationComparisons | 107.627 | 10.205 | 126.217 | |
runDME | 16.399 | 0.909 | 24.695 | |
topNGenes | 4.152 | 0.260 | 5.000 | |