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CHECK report for geNetClassifier on machv2

This page was generated on 2020-10-17 11:58:33 -0400 (Sat, 17 Oct 2020).

TO THE DEVELOPERS/MAINTAINERS OF THE geNetClassifier PACKAGE: Please make sure to use the following settings in order to reproduce any error or warning you see on this page.
Package 694/1905HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
geNetClassifier 1.28.0
Sara Aibar
Snapshot Date: 2020-10-16 14:40:19 -0400 (Fri, 16 Oct 2020)
URL: https://git.bioconductor.org/packages/geNetClassifier
Branch: RELEASE_3_11
Last Commit: b90a4f4
Last Changed Date: 2020-04-27 14:34:08 -0400 (Mon, 27 Apr 2020)
malbec2 Linux (Ubuntu 18.04.4 LTS) / x86_64  OK  OK  OK UNNEEDED, same version exists in internal repository
tokay2 Windows Server 2012 R2 Standard / x64  OK  OK  OK  OK UNNEEDED, same version exists in internal repository
machv2 macOS 10.14.6 Mojave / x86_64  OK  OK [ OK ] OK UNNEEDED, same version exists in internal repository

Summary

Package: geNetClassifier
Version: 1.28.0
Command: /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --install=check:geNetClassifier.install-out.txt --library=/Library/Frameworks/R.framework/Versions/Current/Resources/library --no-vignettes --timings geNetClassifier_1.28.0.tar.gz
StartedAt: 2020-10-17 01:28:44 -0400 (Sat, 17 Oct 2020)
EndedAt: 2020-10-17 01:30:25 -0400 (Sat, 17 Oct 2020)
EllapsedTime: 101.7 seconds
RetCode: 0
Status:  OK 
CheckDir: geNetClassifier.Rcheck
Warnings: 0

Command output

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### Running command:
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###   /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --install=check:geNetClassifier.install-out.txt --library=/Library/Frameworks/R.framework/Versions/Current/Resources/library --no-vignettes --timings geNetClassifier_1.28.0.tar.gz
###
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* using log directory ‘/Users/biocbuild/bbs-3.11-bioc/meat/geNetClassifier.Rcheck’
* using R version 4.0.3 (2020-10-10)
* using platform: x86_64-apple-darwin17.0 (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘geNetClassifier/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘geNetClassifier’ version ‘1.28.0’
* 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 ‘geNetClassifier’ 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 ... OK
* 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 data for ASCII and uncompressed saves ... OK
* checking sizes of PDF files under ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘runTests.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: OK


Installation output

geNetClassifier.Rcheck/00install.out

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### Running command:
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###   /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD INSTALL geNetClassifier
###
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* installing to library ‘/Library/Frameworks/R.framework/Versions/4.0/Resources/library’
* installing *source* package ‘geNetClassifier’ ...
** using staged installation
** R
** data
** 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 (geNetClassifier)

Tests output

geNetClassifier.Rcheck/tests/runTests.Rout


R version 4.0.3 (2020-10-10) -- "Bunny-Wunnies Freak Out"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin17.0 (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.

> BiocGenerics:::testPackage("geNetClassifier")

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

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, 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, which.max, which.min

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

01:30:13 - Filtering data and calculating the genes ranking...
Warning in plotExpressionProfiles(eset = myEset, genes = rownames(myEset),  :
  The argument 'sampleLabels' had to be converted into a factor.
Warning in plotExpressionProfiles(eset = myEset, genes = rownames(myEset),  :
  The data labels vector is not named, it will be assumed the labels are in order: the first label applies to the first sample... 


RUNIT TEST PROTOCOL -- Sat Oct 17 01:30:14 2020 
*********************************************** 
Number of test functions: 3 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
geNetClassifier RUnit Tests - 3 test functions, 0 errors, 0 failures
Number of test functions: 3 
Number of errors: 0 
Number of failures: 0 
Warning messages:
1: In geNetClassifier(matrix(sample(50000, 5 * 2), 5, 2), c(rep("one",  :
  The argument 'classification sampleLabels' had to be converted into a factor.
2: In geNetClassifier(matrix(sample(50000, 5 * 3), 5, 3), c(rep("one",  :
  The argument 'classification sampleLabels' had to be converted into a factor.
3: In geNetClassifier(matrix(sample(50000, 5 * 3), 5, 3), c(rep("one",  :
  The data labels vector is not named, it is assumed the labels are in order: the first label applies to the first sample... 
4: In geNetClassifier(matrix(sample(50000, 5 * 3), 5, 3), c(rep("one",  :
  It is recommended to have the *same* number of samples in each class in order to obtain balanced external validation stats.
> 
> proc.time()
   user  system elapsed 
  1.650   0.149   1.778 

Example timings

geNetClassifier.Rcheck/geNetClassifier-Ex.timings

nameusersystemelapsed
GeNetClassifierReturn-class0.9160.0911.009
GeneralizationError-class0.5460.0280.576
GenesNetwork-class2.7200.5403.275
GenesRanking-class0.8050.0600.864
calculateGenesRanking0.8180.0360.853
externalValidation.probMatrix1.0200.0451.064
externalValidation.stats1.1110.0331.144
gClasses-methods0.3740.0040.379
geNetClassifier0.2060.0100.217
geneSymbols0.1040.0030.107
genesDetails-methods0.4680.0170.485
getEdges-methods0.3580.0060.364
getNodes-methods0.3960.0110.409
getNumEdges-methods0.3380.0100.349
getNumNodes-methods0.3640.0080.374
getRanking-methods0.3870.0110.398
getSubNetwork-methods0.4010.0100.409
getTopRanking-methods0.3540.0080.363
leukemiasClassifier0.4490.0290.476
network2txt0.5020.0360.538
numGenes-methods0.3550.0080.363
numSignificantGenes-methods0.3880.0090.397
overview-methods0.4110.0190.430
plot.GeNetClassifierReturn4.4850.3884.936
plot.GenesRanking0.4070.0140.424
plotAssignments1.0140.0381.056
plotDiscriminantPower0.8870.0900.973
plotExpressionProfiles1.3280.0961.442
plotNetwork2.8380.2423.089
queryGeNetClassifier1.3940.0531.446
querySummary0.9000.0370.940