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This page was generated on 2024-07-09 17:43 -0400 (Tue, 09 Jul 2024).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 22.04.3 LTS)x86_644.4.1 (2024-06-14) -- "Race for Your Life" 4709
palomino7Windows Server 2022 Datacenterx644.4.1 (2024-06-14 ucrt) -- "Race for Your Life" 4483
merida1macOS 12.7.4 Montereyx86_644.4.1 (2024-06-14) -- "Race for Your Life" 4512
kjohnson1macOS 13.6.6 Venturaarm644.4.1 (2024-06-14) -- "Race for Your Life" 4461
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 1386/2300HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
multiWGCNA 1.2.0  (landing page)
Dario Tommasini
Snapshot Date: 2024-07-07 14:00 -0400 (Sun, 07 Jul 2024)
git_url: https://git.bioconductor.org/packages/multiWGCNA
git_branch: RELEASE_3_19
git_last_commit: 05efc0a
git_last_commit_date: 2024-04-30 11:50:35 -0400 (Tue, 30 Apr 2024)
nebbiolo1Linux (Ubuntu 22.04.3 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
palomino7Windows Server 2022 Datacenter / x64  OK    OK    OK    OK  UNNEEDED, same version is already published
merida1macOS 12.7.4 Monterey / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published
kjohnson1macOS 13.6.6 Ventura / arm64  OK    OK    OK    OK  UNNEEDED, same version is already published


CHECK results for multiWGCNA on kjohnson1

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: 1.2.0
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_1.2.0.tar.gz
StartedAt: 2024-07-09 03:06:13 -0400 (Tue, 09 Jul 2024)
EndedAt: 2024-07-09 03:17:32 -0400 (Tue, 09 Jul 2024)
EllapsedTime: 679.1 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_1.2.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.19-bioc/meat/multiWGCNA.Rcheck’
* using R version 4.4.1 (2024-06-14)
* using platform: aarch64-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 Ventura 13.6.6
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘multiWGCNA/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘multiWGCNA’ version ‘1.2.0’
* 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
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 Expression Gene Module Sample Status Var1 Var2 Zscore
  Zsum error kWithin layout_with_fr log10Pvalue mod1 mod2 name2 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 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 77.192  9.043  87.322
preservationComparisons    73.039  9.189  83.695
constructNetworks          45.737  0.312  46.919
moduleComparisonPlot       17.805  0.413  19.249
iterate                     9.848  2.049  12.940
runDME                     10.240  0.873  12.627
drawMultiWGCNAnetwork      10.410  0.437  12.077
overlapComparisons          8.106  0.367   9.566
GetDatExpr                  7.431  0.830   9.978
diffModuleExpression        5.905  0.289   7.448
moduleExpressionPlot        5.748  0.226   7.023
bidirectionalBestMatches    4.616  0.187   5.659
* 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-3.19-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/4.4-arm64/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)

Tests output

multiWGCNA.Rcheck/tests/testthat.Rout


R version 4.4.1 (2024-06-14) -- "Race for Your Life"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-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, 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 
112.037   1.894 115.547 

Example timings

multiWGCNA.Rcheck/multiWGCNA-Ex.timings

nameusersystemelapsed
GetDatExpr7.4310.8309.978
PreservationPermutationTest0.0010.0000.001
PreservationScoreDistribution0.0290.0010.029
bidirectionalBestMatches4.6160.1875.659
cleanDatExpr2.1500.6143.670
coexpressionLineGraph3.6430.1764.827
computeOverlapsFromWGCNA3.6050.2684.745
constructNetworks45.737 0.31246.919
diffCoexpression2.3790.1833.607
diffModuleExpression5.9050.2897.448
drawMultiWGCNAnetwork10.410 0.43712.077
iterate 9.848 2.04912.940
makeTraitTable0.0020.0000.002
moduleComparisonPlot17.805 0.41319.249
moduleExpressionPlot5.7480.2267.023
moduleToModuleHeatmap3.7060.1934.777
name3.4290.1574.866
overlapComparisons8.1060.3679.566
preservationComparisonPlot77.192 9.04387.322
preservationComparisons73.039 9.18983.695
runDME10.240 0.87312.627
topNGenes3.3670.2104.872