Multiple platform build/check report for BioC 3.11 - CHECK report for geNetClassifier on tokay2

Package: geNetClassifier

Version: 1.28.0

Command: C:\Users\biocbuild\bbs-3.11-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:geNetClassifier.install-out.txt --library=C:\Users\biocbuild\bbs-3.11-bioc\R\library --no-vignettes --timings geNetClassifier_1.28.0.tar.gz

StartedAt: 2020-10-17 04:21:39 -0400 (Sat, 17 Oct 2020)

EndedAt: 2020-10-17 04:23:48 -0400 (Sat, 17 Oct 2020)

EllapsedTime: 129.1 seconds

RetCode: 0

Status: OK

CheckDir: geNetClassifier.Rcheck

Warnings: 0

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### Running command:
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###   C:\Users\biocbuild\bbs-3.11-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:geNetClassifier.install-out.txt --library=C:\Users\biocbuild\bbs-3.11-bioc\R\library --no-vignettes --timings geNetClassifier_1.28.0.tar.gz
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* using log directory 'C:/Users/biocbuild/bbs-3.11-bioc/meat/geNetClassifier.Rcheck'
* using R version 4.0.3 (2020-10-10)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* 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 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
* loading checks for arch 'i386'
** 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
* loading checks for arch 'x64'
** 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 files in 'vignettes' ... OK
* checking examples ...
** running examples for arch 'i386' ... OK
** running examples for arch 'x64' ... OK
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
** running tests for arch 'i386' ...
  Running 'runTests.R'
 OK
** running tests for arch 'x64' ...
  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

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###
### Running command:
###
###   C:\cygwin\bin\curl.exe -O https://malbec2.bioconductor.org/BBS/3.11/bioc/src/contrib/geNetClassifier_1.28.0.tar.gz && rm -rf geNetClassifier.buildbin-libdir && mkdir geNetClassifier.buildbin-libdir && C:\Users\biocbuild\bbs-3.11-bioc\R\bin\R.exe CMD INSTALL --merge-multiarch --build --library=geNetClassifier.buildbin-libdir geNetClassifier_1.28.0.tar.gz && C:\Users\biocbuild\bbs-3.11-bioc\R\bin\R.exe CMD INSTALL geNetClassifier_1.28.0.zip && rm geNetClassifier_1.28.0.tar.gz geNetClassifier_1.28.0.zip
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  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed

  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
100 2705k  100 2705k    0     0  27.2M      0 --:--:-- --:--:-- --:--:-- 29.3M

install for i386

* installing *source* package 'geNetClassifier' ...
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package 'geNetClassifier'
    finding HTML links ... done
    GeNetClassifierReturn-class             html  
    GeneralizationError-class               html  
    GenesNetwork-class                      html  
    GenesRanking-class                      html  
    calculateGenesRanking                   html  
    externalValidation.probMatrix           html  
    externalValidation.stats                html  
    gClasses-methods                        html  
    geNetClassifier-package                 html  
    geNetClassifier                         html  
    finding level-2 HTML links ... done

    geneSymbols                             html  
    genesDetails-methods                    html  
    getEdges-methods                        html  
    getNodes-methods                        html  
    getNumEdges-methods                     html  
    getNumNodes-methods                     html  
    getRanking-methods                      html  
    getSubNetwork-methods                   html  
    getTopRanking-methods                   html  
    leukemiasClassifier                     html  
    network2txt                             html  
    numGenes-methods                        html  
    numSignificantGenes-methods             html  
    overview-methods                        html  
    plot.GeNetClassifierReturn              html  
    plot.GenesRanking                       html  
    plotAssignments                         html  
    plotDiscriminantPower                   html  
    plotExpressionProfiles                  html  
    plotNetwork                             html  
    queryGeNetClassifier                    html  
    querySummary                            html  
    setProperties-methods                   html  
** 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

install for x64

* installing *source* package 'geNetClassifier' ...
** testing if installed package can be loaded
* MD5 sums
packaged installation of 'geNetClassifier' as geNetClassifier_1.28.0.zip
* DONE (geNetClassifier)
* installing to library 'C:/Users/biocbuild/bbs-3.11-bioc/R/library'
package 'geNetClassifier' successfully unpacked and MD5 sums checked


R version 4.0.3 (2020-10-10) -- "Bunny-Wunnies Freak Out"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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")'.

04:23:34 - 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 04:23:34 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 
   1.50    0.12    1.60


R version 4.0.3 (2020-10-10) -- "Bunny-Wunnies Freak Out"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (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")'.

04:23:36 - 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 04:23:36 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 
   1.64    0.10    1.73

name	user	system	elapsed
GeNetClassifierReturn-class	0.99	0.04	2.54
GeneralizationError-class	0.49	0.05	0.53
GenesNetwork-class	2.18	0.87	3.13
GenesRanking-class	0.77	0.05	0.81
calculateGenesRanking	0.69	0.02	0.70
externalValidation.probMatrix	0.70	0.00	0.71
externalValidation.stats	0.69	0.03	0.71
gClasses-methods	0.3	0.0	0.3
geNetClassifier	0.12	0.05	0.17
geneSymbols	0.08	0.00	0.08
genesDetails-methods	0.37	0.01	0.39
getEdges-methods	0.32	0.00	0.31
getNodes-methods	0.31	0.00	0.32
getNumEdges-methods	0.31	0.02	0.32
getNumNodes-methods	0.33	0.00	0.33
getRanking-methods	0.34	0.01	0.36
getSubNetwork-methods	0.35	0.00	0.35
getTopRanking-methods	0.31	0.02	0.32
leukemiasClassifier	0.33	0.01	0.35
network2txt	0.64	0.00	0.64
numGenes-methods	0.39	0.02	0.40
numSignificantGenes-methods	0.34	0.00	0.35
overview-methods	0.47	0.01	0.48
plot.GeNetClassifierReturn	3.49	0.13	3.74
plot.GenesRanking	0.40	0.02	0.42
plotAssignments	0.91	0.03	0.94
plotDiscriminantPower	0.89	0.09	1.25
plotExpressionProfiles	1.08	0.08	1.15
plotNetwork	2.62	0.06	2.69
queryGeNetClassifier	0.83	0.02	0.84
querySummary	0.62	0.00	0.63

name	user	system	elapsed
GeNetClassifierReturn-class	0.71	0.02	0.73
GeneralizationError-class	0.38	0.04	0.42
GenesNetwork-class	2.30	0.85	3.69
GenesRanking-class	0.63	0.03	0.65
calculateGenesRanking	0.50	0.06	0.57
externalValidation.probMatrix	0.75	0.05	0.79
externalValidation.stats	0.47	0.01	0.49
gClasses-methods	0.23	0.00	0.23
geNetClassifier	0.2	0.0	0.2
geneSymbols	0.08	0.00	0.08
genesDetails-methods	0.44	0.02	0.45
getEdges-methods	0.22	0.04	0.27
getNodes-methods	0.26	0.00	0.26
getNumEdges-methods	0.27	0.00	0.27
getNumNodes-methods	0.23	0.00	0.23
getRanking-methods	0.27	0.00	0.27
getSubNetwork-methods	0.23	0.02	0.25
getTopRanking-methods	0.41	0.01	0.42
leukemiasClassifier	0.30	0.03	0.33
network2txt	0.50	0.04	0.53
numGenes-methods	0.37	0.01	0.39
numSignificantGenes-methods	0.31	0.03	0.34
overview-methods	0.29	0.00	0.29
plot.GeNetClassifierReturn	3.42	0.19	3.63
plot.GenesRanking	0.33	0.01	0.34
plotAssignments	0.48	0.02	0.50
plotDiscriminantPower	0.56	0.03	0.59
plotExpressionProfiles	1.22	0.09	1.32
plotNetwork	2.69	0.03	2.71
queryGeNetClassifier	0.76	0.05	0.82
querySummary	0.54	0.06	0.59

CHECK report for geNetClassifier on tokay2

Summary

Command output

Installation output

Tests output

Example timings