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This page was generated on 2024-03-04 11:37:36 -0500 (Mon, 04 Mar 2024).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo2Linux (Ubuntu 22.04.3 LTS)x86_644.3.2 Patched (2023-11-13 r85521) -- "Eye Holes" 4692
palomino4Windows Server 2022 Datacenterx644.3.2 (2023-10-31 ucrt) -- "Eye Holes" 4445
lconwaymacOS 12.7.1 Montereyx86_644.3.2 Patched (2023-11-01 r85457) -- "Eye Holes" 4466
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 1369/2266HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
multiWGCNA 1.0.0  (landing page)
Dario Tommasini
Snapshot Date: 2024-03-03 14:05:05 -0500 (Sun, 03 Mar 2024)
git_url: https://git.bioconductor.org/packages/multiWGCNA
git_branch: RELEASE_3_18
git_last_commit: cf07247
git_last_commit_date: 2023-10-24 11:50:15 -0500 (Tue, 24 Oct 2023)
nebbiolo2Linux (Ubuntu 22.04.3 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
palomino4Windows Server 2022 Datacenter / x64  OK    OK    OK    OK  UNNEEDED, same version is already published
lconwaymacOS 12.7.1 Monterey / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published
kjohnson1macOS 13.6.1 Ventura / arm64see weekly results here

CHECK results for multiWGCNA on lconway


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.

raw results


Summary

Package: multiWGCNA
Version: 1.0.0
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_1.0.0.tar.gz
StartedAt: 2024-03-03 22:06:18 -0500 (Sun, 03 Mar 2024)
EndedAt: 2024-03-03 22:24:57 -0500 (Sun, 03 Mar 2024)
EllapsedTime: 1119.2 seconds
RetCode: 0
Status:   OK  
CheckDir: multiWGCNA.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### 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_1.0.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.18-bioc/meat/multiWGCNA.Rcheck’
* using R version 4.3.2 Patched (2023-11-01 r85457)
* using platform: x86_64-apple-darwin20 (64-bit)
* R was compiled by
    Apple clang version 14.0.3 (clang-1403.0.22.14.1)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Monterey 12.7.1
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘multiWGCNA/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘multiWGCNA’ version ‘1.0.0’
* 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 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 R 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
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’
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 Expression Gene Module Sample Status Var1 Var2 Zscore
  Zsum error kWithin layout_with_fr log10Pvalue mod1 mod2 overlap p.adj
  stratum trait ulist uniqueSortedData value zScoreMatrix
* 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 files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                             user system elapsed
preservationComparisonPlot 84.454 14.084 100.765
preservationComparisons    77.323 13.785  93.143
constructNetworks          54.452  3.360  59.264
drawMultiWGCNAnetwork      38.826  5.560  46.535
runDME                     36.909  7.275  49.235
diffModuleExpression       36.354  5.723  43.871
moduleComparisonPlot       34.583  3.192  39.181
iterate                    25.451  4.993  31.597
overlapComparisons         23.135  3.207  27.269
GetDatExpr                 22.568  3.541  28.566
moduleToModuleHeatmap      20.447  2.717  24.247
bidirectionalBestMatches   18.999  2.874  22.798
coexpressionLineGraph      19.103  2.594  22.541
moduleExpressionPlot       18.867  2.828  22.762
cleanDatExpr               18.252  3.206  22.668
computeOverlapsFromWGCNA   18.385  2.834  22.328
topNGenes                  17.304  3.731  22.130
name                       17.786  2.911  24.749
diffCoexpression           17.162  2.982  21.234
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... 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-3.18-bioc/meat/multiWGCNA.Rcheck/00check.log’
for details.



Installation output

multiWGCNA.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL multiWGCNA
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library’
* installing *source* package ‘multiWGCNA’ ...
** using staged installation
** 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
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (multiWGCNA)

Tests output

multiWGCNA.Rcheck/tests/testthat.Rout


R version 4.3.2 Patched (2023-11-01 r85457) -- "Eye Holes"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20 (64-bit)

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, setdiff, sort, table,
    tapply, union, unique, unsplit, which.max, which.min

Loading required package: AnnotationHub
Loading required package: BiocFileCache
Loading required package: dbplyr
Bioconductor version 3.18 (BiocManager 1.30.22), R 4.3.2 Patched (2023-11-01
  r85457)
Installing package(s) 'multiWGCNAdata'
Old packages: 'ReUseData', 'hdf5r', 'hrbrthemes'
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 1 | SKIP 0 | PASS 2 ]

[ FAIL 0 | WARN 1 | SKIP 0 | PASS 2 ]
> 
> proc.time()
   user  system elapsed 
118.019  16.061 151.151 

Example timings

multiWGCNA.Rcheck/multiWGCNA-Ex.timings

nameusersystemelapsed
GetDatExpr22.568 3.54128.566
bidirectionalBestMatches18.999 2.87422.798
cleanDatExpr18.252 3.20622.668
coexpressionLineGraph19.103 2.59422.541
computeOverlapsFromWGCNA18.385 2.83422.328
constructNetworks54.452 3.36059.264
diffCoexpression17.162 2.98221.234
diffModuleExpression36.354 5.72343.871
drawMultiWGCNAnetwork38.826 5.56046.535
iterate25.451 4.99331.597
makeTraitTable0.0020.0010.003
moduleComparisonPlot34.583 3.19239.181
moduleExpressionPlot18.867 2.82822.762
moduleToModuleHeatmap20.447 2.71724.247
name17.786 2.91124.749
overlapComparisons23.135 3.20727.269
preservationComparisonPlot 84.454 14.084100.765
preservationComparisons77.32313.78593.143
runDME36.909 7.27549.235
topNGenes17.304 3.73122.130