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This page was generated on 2022-01-21 13:07:16 -0500 (Fri, 21 Jan 2022).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo2Linux (Ubuntu 20.04.4 LTS)x86_644.1.2 (2021-11-01) -- "Bird Hippie" 4329
tokay2Windows Server 2012 R2 Standardx644.1.2 (2021-11-01) -- "Bird Hippie" 4079
machv2macOS 10.14.6 Mojavex86_644.1.2 (2021-11-01) -- "Bird Hippie" 4140
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

CHECK results for trena on tokay2


To the developers/maintainers of the trena package:
- Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/trena.git to
reflect on this report. See How and When does the builder pull? When will my changes propagate? here for more information.
- Make sure to use the following settings in order to reproduce any error or warning you see on this page.

raw results

Package 1998/2083HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
trena 1.16.0  (landing page)
Paul Shannon
Snapshot Date: 2022-01-20 01:55:04 -0500 (Thu, 20 Jan 2022)
git_url: https://git.bioconductor.org/packages/trena
git_branch: RELEASE_3_14
git_last_commit: f742819
git_last_commit_date: 2021-10-26 12:35:29 -0500 (Tue, 26 Oct 2021)
nebbiolo2Linux (Ubuntu 20.04.4 LTS) / x86_64  OK    OK    WARNINGS  UNNEEDED, same version is already published
tokay2Windows Server 2012 R2 Standard / x64  OK    OK    WARNINGS    OK  UNNEEDED, same version is already published
machv2macOS 10.14.6 Mojave / x86_64  OK    OK    WARNINGS    OK  UNNEEDED, same version is already published

Summary

Package: trena
Version: 1.16.0
Command: C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:trena.install-out.txt --library=C:\Users\biocbuild\bbs-3.14-bioc\R\library --no-vignettes --timings trena_1.16.0.tar.gz
StartedAt: 2022-01-21 04:19:31 -0500 (Fri, 21 Jan 2022)
EndedAt: 2022-01-21 04:39:12 -0500 (Fri, 21 Jan 2022)
EllapsedTime: 1180.3 seconds
RetCode: 0
Status:   WARNINGS  
CheckDir: trena.Rcheck
Warnings: 1

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:trena.install-out.txt --library=C:\Users\biocbuild\bbs-3.14-bioc\R\library --no-vignettes --timings trena_1.16.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory 'C:/Users/biocbuild/bbs-3.14-bioc/meat/trena.Rcheck'
* using R version 4.1.2 (2021-11-01)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* using option '--no-vignettes'
* checking for file 'trena/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'trena' version '1.16.0'
* 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 whether package 'trena' can be installed ... OK
* checking installed package size ... NOTE
  installed size is  5.7Mb
  sub-directories of 1Mb or more:
    R         1.1Mb
    extdata   2.6Mb
* 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 include directives in Makefiles ... 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' ... WARNING
  Found 'inst/doc/makefile': should be 'Makefile' and will be ignored
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 1 WARNING, 1 NOTE
See
  'C:/Users/biocbuild/bbs-3.14-bioc/meat/trena.Rcheck/00check.log'
for details.



Installation output

trena.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   C:\cygwin\bin\curl.exe -O http://155.52.207.166/BBS/3.14/bioc/src/contrib/trena_1.16.0.tar.gz && rm -rf trena.buildbin-libdir && mkdir trena.buildbin-libdir && C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD INSTALL --merge-multiarch --build --library=trena.buildbin-libdir trena_1.16.0.tar.gz && C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD INSTALL trena_1.16.0.zip && rm trena_1.16.0.tar.gz trena_1.16.0.zip
###
##############################################################################
##############################################################################


  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed

  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
  4 6899k    4  288k    0     0  1102k      0  0:00:06 --:--:--  0:00:06 1102k
 50 6899k   50 3496k    0     0  2754k      0  0:00:02  0:00:01  0:00:01 2755k
100 6899k  100 6899k    0     0  3241k      0  0:00:02  0:00:02 --:--:-- 3243k

install for i386

* installing *source* package 'trena' ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
See system.file("LICENSE", package="MotifDb") for use restrictions.
** help
*** installing help indices
  converting help for package 'trena'
    finding HTML links ... done
    BayesSpikeSolver-class                  html  
    BayesSpikeSolver                        html  
    BicorSolver-class                       html  
    BicorSolver                             html  
    CandidateFilter-class                   html  
    EnsembleSolver-class                    html  
    EnsembleSolver                          html  
    FootprintFilter-class                   html  
    FootprintFinder-class                   html  
    GeneOntologyFilter-class                html  
    HumanDHSFilter-class                    html  
    LassoPVSolver-class                     html  
    LassoPVSolver                           html  
    LassoSolver-class                       html  
    LassoSolver                             html  
    MotifMatcher-class                      html  
    finding level-2 HTML links ... done

    PCAMax                                  html  
    PearsonSolver-class                     html  
    PearsonSolver                           html  
    RandomForestSolver-class                html  
    RandomForestSolver                      html  
    RidgeSolver-class                       html  
    RidgeSolver                             html  
    Solver-class                            html  
    SpearmanSolver-class                    html  
    SpearmanSolver                          html  
    Trena-class                             html  
    VarianceFilter-class                    html  
    XGBoostSolver-class                     html  
    XGBoostSolver                           html  
    addStats                                html  
    addStatsSimple                          html  
    assessSnp                               html  
    closeDatabaseConnections                html  
    createGeneModelFromRegulatoryRegions    html  
    createGeneModelFromTfList               html  
    elasticNetSolver                        html  
    findMatchesByChromosomalRegion          html  
    getAssayData                            html  
    getAvailableSolvers                     html  
    getCandidates-FootprintFilter-method    html  
    getCandidates-GeneOntologyFilter-method
                                            html  
    getCandidates-HumanDHSFilter-method     html  
    getCandidates-VarianceFilter-method     html  
    getCandidates                           html  
    getChromLoc                             html  
    getCoverage                             html  
    getEncodeRegulatoryTableNames-HumanDHSFilter
                                            html  
    getFootprintsForGene                    html  
    getFootprintsInRegion                   html  
    getGeneModelTableColumnNames            html  
    getGenePromoterRegion                   html  
    getGtfGeneBioTypes                      html  
    getGtfMoleculeTypes                     html  
    getPfms                                 html  
    getPromoterRegionsAllGenes              html  
    getProximalPromoter                     html  
    getRegulators                           html  
    getRegulatoryChromosomalRegions         html  
    getRegulatoryRegions                    html  
    getRegulatoryTableColumnNames           html  
    getSequence                             html  
    getSolverNames                          html  
    getTarget                               html  
    normalizeModel                          html  
    parseChromLocString                     html  
    parseDatabaseUri                        html  
    rescalePredictorWeights                 html  
    run                                     html  
    show-HumanDHSFilter-method              html  
    show.BayesSpikeSolver                   html  
    show.BicorSolver                        html  
    show.EnsembleSolver                     html  
    show.LassoPVSolver                      html  
    show.LassoSolver                        html  
    show.MotifMatcher                       html  
    show.PearsonSolver                      html  
    show.RandomForestSolver                 html  
    show.RidgeSolver                        html  
    show.SpearmanSolver                     html  
    show.XGBoostSolver                      html  
    solve.BayesSpike                        html  
    solve.Bicor                             html  
    solve.Ensemble                          html  
    solve.Lasso                             html  
    solve.LassoPV                           html  
    solve.Pearson                           html  
    solve.RandomForest                      html  
    solve.Ridge                             html  
    solve.Spearman                          html  
    solve.XGBoost                           html  
    trena-package                           html  
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
See system.file("LICENSE", package="MotifDb") for use restrictions.
** testing if installed package can be loaded from final location
See system.file("LICENSE", package="MotifDb") for use restrictions.
** testing if installed package keeps a record of temporary installation path

install for x64

* installing *source* package 'trena' ...
** testing if installed package can be loaded
See system.file("LICENSE", package="MotifDb") for use restrictions.
* MD5 sums
packaged installation of 'trena' as trena_1.16.0.zip
* DONE (trena)
* installing to library 'C:/Users/biocbuild/bbs-3.14-bioc/R/library'
package 'trena' successfully unpacked and MD5 sums checked

Tests output

trena.Rcheck/tests_i386/runTests.Rout


R version 4.1.2 (2021-11-01) -- "Bird Hippie"
Copyright (C) 2021 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.

> require(trena) || stop("unable to load trena Package")
Loading required package: trena
Loading required package: glmnet
Loading required package: Matrix
Loaded glmnet 4.1-3
Loading required package: MotifDb
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, 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: S4Vectors
Loading required package: stats4

Attaching package: 'S4Vectors'

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

    expand, unname

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

    I, expand.grid, unname

Loading required package: IRanges

Attaching package: 'IRanges'

The following object is masked from 'package:grDevices':

    windows

Loading required package: GenomicRanges
Loading required package: GenomeInfoDb
Loading required package: Biostrings
Loading required package: XVector

Attaching package: 'Biostrings'

The following object is masked from 'package:base':

    strsplit

See system.file("LICENSE", package="MotifDb") for use restrictions.


[1] TRUE
> BiocGenerics:::testPackage('trena')
[1] --- test_BayesSpikeSolverConstructor
[1] --- test_ampAD.mef2c.154tfs.278samples.bayesSpike
[1] --- test_nOrderings
[1] --- test_BayesSpikeSolverConstructor
[1] --- test_ampAD.mef2c.154tfs.278samples.bayesSpike
[1] --- test_nOrderings
[1] --- test_BicorSolverConstructor
[1] --- test_ampAD.mef2c.154tfs.278samples.bicor
[1] --- test_BicorSolverConstructor
[1] --- test_ampAD.mef2c.154tfs.278samples.bicor
[1] --- test_CandidateFilter
[1] --- test_CandidateFilter
[1] --- test_EnsembleSolverConstructor
[1] --- test_getSolverNames
[1] --- test_ampAD.mef2c.154tfs.278samples.ensemble
[1] --- test_ampAD.mef2c.154tfs.278samples.randomForestAndXGBoost
[1] --- test_selectedSolversOnly
[1] --- test_oneSolver
[1] --- test_invalidSolvers
[1] --- test_EnsembleSolverConstructor
[1] --- test_ampAD.mef2c.154tfs.278samples.ensemble
Warning in WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
[1] --- test_ampAD.mef2c.154tfs.278samples.randomForestAndXGBoost
[1] --- test_getSolverNames
[1] --- test_invalidSolvers
[1] --- test_oneSolver
[1] --- test_selectedSolversOnly
Warning in WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
[1] --- test_FootprintFilter.byRegion
[1] --- test_FootprintFilter.byTwoRegions
[1] --- test_FootprintFilter.byRegion
[1] --- test_FootprintFilter.byTwoRegions
Loading required package: DBI
[1] --- test_parseDatabaseUri
[1] --- test_constructor
[1] --- test_getGtfGeneBioTypes
[1] --- test_getGtfMoleculeTypes
[1] --- test_getChromLoc
[1] --- test_getGenePromoterRegion
[1] --- test_getFootprintsInRegion
[1] --- test_getFootprintsInRegionWithVariants
[1] --- test_getFootprintsForGene
[1] --- test_constructor
[1] --- test_getChromLoc
[1] --- test_getFootprintsForGene
[1] --- test_getFootprintsInRegion
[1] --- test_getFootprintsInRegionWithVariants
Warning: call dbDisconnect() when finished working with a connection
[1] --- test_getGenePromoterRegion
[1] --- test_getGtfGeneBioTypes
[1] --- test_getGtfMoleculeTypes
[1] --- test_parseDatabaseUri
[1] --- test_directMode
Loading required package: org.Hs.eg.db
Loading required package: AnnotationDbi
Loading required package: Biobase
Welcome to Bioconductor

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

[1] --- test_directMode
[1] --- test_getOpenChromatinFastAndSimple
[1] --- test_getOpenChromatinFastAndSimple
[1] --- test_LassoPvSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.lassopv
[1] --- test_LassoPvSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.lassopv
[1] --- test_LassoSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_developAndFitDummyTestData
[1] --- test_fitDummyData
[1] --- test_ampAD.mef2c.154tfs.278samples.lasso
[1] --- test_alpha.lasso
[1] --- test_lambda.lasso
[1] --- test_keep.metrics.lasso
[1] --- test_scalePredictorPenalties.lasso
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_LassoSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_alpha.lasso
[1] --- test_ampAD.mef2c.154tfs.278samples.lasso
[1] --- test_developAndFitDummyTestData
[1] --- test_fitDummyData
[1] --- test_keep.metrics.lasso
[1] --- test_lambda.lasso
[1] --- test_scalePredictorPenalties.lasso
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_getSequence
[1] --- test_bugInStartEndOfMinusStrandHits
[1] --- test_.injectSnp
[1] --- test_.getScoredMotifs
[1] --- test_noMatch
[1] --- test_findMatchesByChromosomalRegion
[1] --- test_findMatchesByChromosomalRegion.twoAlternateAlleles
[1] --- test_findMatchesByChromosomalRegion.yeast
[1] --- test_findMatchesByChromosomalRegion.athaliana
[1] --- test_.getScoredMotifs
[1] --- test_.injectSnp
[1] --- test_basicConstructor
[1] --- test_bugInStartEndOfMinusStrandHits
[1] --- test_findMatchesByChromosomalRegion
[1] --- test_findMatchesByChromosomalRegion.athaliana
[1] --- test_findMatchesByChromosomalRegion.twoAlternateAlleles
[1] --- test_findMatchesByChromosomalRegion.yeast
[1] --- test_findMatchesByMultipleChromosomalRegions
[1] --- test_getSequence
[1] --- test_noMatch
[1] --- test_PearsonSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.pearson
[1] --- test_PearsonSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.pearson
[1] --- test_RandomForestSolverConstructor
[1] --- test_RandomForestSolverFewCandidates
[1] --- test_ampAD.mef2c.154tfs.278samples.randomForest
[1] --- test_RandomForestSolverConstructor
[1] --- test_RandomForestSolverFewCandidates
[1] --- test_ampAD.mef2c.154tfs.278samples.randomForest
[1] --- test_RidgeSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.ridge
[1] --- test_alpha.ridge
[1] --- test_lambda.ridge
[1] --- test_keep.metrics.ridge
[1] --- test_RidgeSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_alpha.ridge
[1] --- test_ampAD.mef2c.154tfs.278samples.ridge
[1] --- test_keep.metrics.ridge
[1] --- test_lambda.ridge
[1] --- test_getAssayData
[1] --- test_getTarget
Warning in Solver(mtx, "gene1", c("gene2", "gene3")) :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_getRegulators
[1] --- test_eliminateSelfTFs
[1] --- test_MatrixWarnings
[1] --- test_TargetAndRegulatorWarnings
[1] --- test_MatrixWarnings
[1] --- test_TargetAndRegulatorWarnings
[1] --- test_eliminateSelfTFs
[1] --- test_getAssayData
Warning in Solver(mtx, "gene1", c("gene2", "gene3")) :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_getRegulators
[1] --- test_getTarget
[1] --- test_SpearmanSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.spearman
[1] --- test_SpearmanSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.spearman
[1] --- test_VarianceFilter
[1] --- test_VarianceFilter
--- test_XGBoostSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
--- test_ampAD.mef2c.154tfs.278samples.XGBoost
--- test_XGBoostSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
--- test_ampAD.mef2c.154tfs.278samples.XGBoost


RUNIT TEST PROTOCOL -- Fri Jan 21 04:32:57 2022 
*********************************************** 
Number of test functions: 79 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
trena RUnit Tests - 79 test functions, 0 errors, 0 failures
Number of test functions: 79 
Number of errors: 0 
Number of failures: 0 
Warning messages:
1: In Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
2: In WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
3: In Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
4: In WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
5: In WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
6: In WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
> 
> proc.time()
   user  system elapsed 
 350.29    2.39  349.84 

trena.Rcheck/tests_x64/runTests.Rout


R version 4.1.2 (2021-11-01) -- "Bird Hippie"
Copyright (C) 2021 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
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> require(trena) || stop("unable to load trena Package")
Loading required package: trena
Loading required package: glmnet
Loading required package: Matrix
Loaded glmnet 4.1-3
Loading required package: MotifDb
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, 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: S4Vectors
Loading required package: stats4

Attaching package: 'S4Vectors'

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

    expand, unname

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

    I, expand.grid, unname

Loading required package: IRanges

Attaching package: 'IRanges'

The following object is masked from 'package:grDevices':

    windows

Loading required package: GenomicRanges
Loading required package: GenomeInfoDb
Loading required package: Biostrings
Loading required package: XVector

Attaching package: 'Biostrings'

The following object is masked from 'package:base':

    strsplit

See system.file("LICENSE", package="MotifDb") for use restrictions.


[1] TRUE
> BiocGenerics:::testPackage('trena')
[1] --- test_BayesSpikeSolverConstructor
[1] --- test_ampAD.mef2c.154tfs.278samples.bayesSpike
[1] --- test_nOrderings
[1] --- test_BayesSpikeSolverConstructor
[1] --- test_ampAD.mef2c.154tfs.278samples.bayesSpike
[1] --- test_nOrderings
[1] --- test_BicorSolverConstructor
[1] --- test_ampAD.mef2c.154tfs.278samples.bicor
[1] --- test_BicorSolverConstructor
[1] --- test_ampAD.mef2c.154tfs.278samples.bicor
[1] --- test_CandidateFilter
[1] --- test_CandidateFilter
[1] --- test_EnsembleSolverConstructor
[1] --- test_getSolverNames
[1] --- test_ampAD.mef2c.154tfs.278samples.ensemble
[1] --- test_ampAD.mef2c.154tfs.278samples.randomForestAndXGBoost
[1] --- test_selectedSolversOnly
[1] --- test_oneSolver
[1] --- test_invalidSolvers
[1] --- test_EnsembleSolverConstructor
[1] --- test_ampAD.mef2c.154tfs.278samples.ensemble
Warning in WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
[1] --- test_ampAD.mef2c.154tfs.278samples.randomForestAndXGBoost
[1] --- test_getSolverNames
[1] --- test_invalidSolvers
[1] --- test_oneSolver
[1] --- test_selectedSolversOnly
Warning in WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
[1] --- test_FootprintFilter.byRegion
[1] --- test_FootprintFilter.byTwoRegions
[1] --- test_FootprintFilter.byRegion
[1] --- test_FootprintFilter.byTwoRegions
Loading required package: DBI
[1] --- test_parseDatabaseUri
[1] --- test_constructor
[1] --- test_getGtfGeneBioTypes
[1] --- test_getGtfMoleculeTypes
[1] --- test_getChromLoc
[1] --- test_getGenePromoterRegion
[1] --- test_getFootprintsInRegion
[1] --- test_getFootprintsInRegionWithVariants
[1] --- test_getFootprintsForGene
[1] --- test_constructor
[1] --- test_getChromLoc
[1] --- test_getFootprintsForGene
[1] --- test_getFootprintsInRegion
[1] --- test_getFootprintsInRegionWithVariants
[1] --- test_getGenePromoterRegion
[1] --- test_getGtfGeneBioTypes
[1] --- test_getGtfMoleculeTypes
[1] --- test_parseDatabaseUri
[1] --- test_directMode
Loading required package: org.Hs.eg.db
Loading required package: AnnotationDbi
Loading required package: Biobase
Welcome to Bioconductor

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

[1] --- test_directMode
[1] --- test_getOpenChromatinFastAndSimple
[1] --- test_getOpenChromatinFastAndSimple
[1] --- test_LassoPvSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.lassopv
[1] --- test_LassoPvSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.lassopv
[1] --- test_LassoSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_developAndFitDummyTestData
[1] --- test_fitDummyData
[1] --- test_ampAD.mef2c.154tfs.278samples.lasso
[1] --- test_alpha.lasso
[1] --- test_lambda.lasso
[1] --- test_keep.metrics.lasso
[1] --- test_scalePredictorPenalties.lasso
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_LassoSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_alpha.lasso
[1] --- test_ampAD.mef2c.154tfs.278samples.lasso
Warning: call dbDisconnect() when finished working with a connection
[1] --- test_developAndFitDummyTestData
[1] --- test_fitDummyData
[1] --- test_keep.metrics.lasso
[1] --- test_lambda.lasso
[1] --- test_scalePredictorPenalties.lasso
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_getSequence
[1] --- test_bugInStartEndOfMinusStrandHits
[1] --- test_.injectSnp
[1] --- test_.getScoredMotifs
[1] --- test_noMatch
[1] --- test_findMatchesByChromosomalRegion
[1] --- test_findMatchesByChromosomalRegion.twoAlternateAlleles
[1] --- test_findMatchesByChromosomalRegion.yeast
[1] --- test_findMatchesByChromosomalRegion.athaliana
[1] --- test_.getScoredMotifs
[1] --- test_.injectSnp
[1] --- test_basicConstructor
[1] --- test_bugInStartEndOfMinusStrandHits
[1] --- test_findMatchesByChromosomalRegion
[1] --- test_findMatchesByChromosomalRegion.athaliana
[1] --- test_findMatchesByChromosomalRegion.twoAlternateAlleles
[1] --- test_findMatchesByChromosomalRegion.yeast
[1] --- test_findMatchesByMultipleChromosomalRegions
[1] --- test_getSequence
[1] --- test_noMatch
[1] --- test_PearsonSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.pearson
[1] --- test_PearsonSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.pearson
[1] --- test_RandomForestSolverConstructor
[1] --- test_RandomForestSolverFewCandidates
[1] --- test_ampAD.mef2c.154tfs.278samples.randomForest
[1] --- test_RandomForestSolverConstructor
[1] --- test_RandomForestSolverFewCandidates
[1] --- test_ampAD.mef2c.154tfs.278samples.randomForest
[1] --- test_RidgeSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.ridge
[1] --- test_alpha.ridge
[1] --- test_lambda.ridge
[1] --- test_keep.metrics.ridge
[1] --- test_RidgeSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_alpha.ridge
[1] --- test_ampAD.mef2c.154tfs.278samples.ridge
[1] --- test_keep.metrics.ridge
[1] --- test_lambda.ridge
[1] --- test_getAssayData
[1] --- test_getTarget
Warning in Solver(mtx, "gene1", c("gene2", "gene3")) :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_getRegulators
[1] --- test_eliminateSelfTFs
[1] --- test_MatrixWarnings
[1] --- test_TargetAndRegulatorWarnings
[1] --- test_MatrixWarnings
[1] --- test_TargetAndRegulatorWarnings
[1] --- test_eliminateSelfTFs
[1] --- test_getAssayData
Warning in Solver(mtx, "gene1", c("gene2", "gene3")) :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_getRegulators
[1] --- test_getTarget
[1] --- test_SpearmanSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.spearman
[1] --- test_SpearmanSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
[1] --- test_ampAD.mef2c.154tfs.278samples.spearman
[1] --- test_VarianceFilter
[1] --- test_VarianceFilter
--- test_XGBoostSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
--- test_ampAD.mef2c.154tfs.278samples.XGBoost
--- test_XGBoostSolverConstructor
Warning in Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
--- test_ampAD.mef2c.154tfs.278samples.XGBoost


RUNIT TEST PROTOCOL -- Fri Jan 21 04:38:56 2022 
*********************************************** 
Number of test functions: 79 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
trena RUnit Tests - 79 test functions, 0 errors, 0 failures
Number of test functions: 79 
Number of errors: 0 
Number of failures: 0 
Warning messages:
1: In Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
2: In WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
3: In Solver(mtx.assay = mtx.assay, quiet = quiet, targetGene = targetGene,  :
  Target gene mean expression is in the bottom 10% of all genes in the assay matrix
4: In WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
5: In WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
6: In WGCNA::bicor(x = x, y = y, use = "pairwise.complete.obs") :
  bicor: zero MAD in variable 'x'. Pearson correlation was used for individual columns with zero (or missing) MAD.
> 
> proc.time()
   user  system elapsed 
 357.03    1.89  358.09 

Example timings

trena.Rcheck/examples_i386/trena-Ex.timings

nameusersystemelapsed
BayesSpikeSolver0.020.000.11
BicorSolver0.030.000.03
CandidateFilter-class000
EnsembleSolver0.030.000.03
FootprintFilter-class000
GeneOntologyFilter-class0.080.020.21
HumanDHSFilter-class000
LassoPVSolver0.030.000.03
LassoSolver0.010.000.01
MotifMatcher-class0.310.000.31
PearsonSolver0.030.000.03
RandomForestSolver0.020.000.02
RidgeSolver000
Solver-class0.010.000.01
SpearmanSolver0.030.000.04
Trena-class000
VarianceFilter-class000
XGBoostSolver0.050.000.04
assessSnp000
createGeneModelFromRegulatoryRegions000
createGeneModelFromTfList000
findMatchesByChromosomalRegion000
getAssayData0.020.000.02
getAvailableSolvers000
getCandidates-FootprintFilter-method000
getCandidates-GeneOntologyFilter-method0.790.030.83
getCandidates-HumanDHSFilter-method000
getCandidates-VarianceFilter-method0.020.000.01
getChromLoc0.030.000.03
getEncodeRegulatoryTableNames-HumanDHSFilter000
getFootprintsForGene0.000.000.07
getFootprintsInRegion0.020.020.12
getGeneModelTableColumnNames000
getGenePromoterRegion000
getGtfGeneBioTypes0.010.000.02
getGtfMoleculeTypes0.000.010.01
getPfms0.330.000.33
getPromoterRegionsAllGenes0.080.000.08
getProximalPromoter000
getRegulators0.020.000.02
getRegulatoryChromosomalRegions000
getRegulatoryRegions000
getRegulatoryTableColumnNames000
getSequence000
getSolverNames0.020.000.02
getTarget0.010.000.01
parseChromLocString000
parseDatabaseUri0.020.000.02
rescalePredictorWeights0.010.000.01
show-HumanDHSFilter-method000
show.BayesSpikeSolver0.030.000.03
show.BicorSolver0.020.000.02
show.EnsembleSolver0.060.000.06
show.LassoPVSolver0.020.000.01
show.LassoSolver0.010.000.02
show.MotifMatcher0.020.000.02
show.PearsonSolver0.020.000.01
show.RandomForestSolver0.030.000.03
show.RidgeSolver0.010.000.02
show.SpearmanSolver0.030.000.03
show.XGBoostSolver0.020.000.01
solve.BayesSpike000
solve.Bicor0.030.000.04
solve.Ensemble000
solve.Lasso1.590.011.61
solve.LassoPV0.190.030.21
solve.Pearson0.020.000.02
solve.RandomForest2.950.002.95
solve.Ridge3.090.003.10
solve.Spearman0.040.000.03
solve.XGBoost1.780.041.00

trena.Rcheck/examples_x64/trena-Ex.timings

nameusersystemelapsed
BayesSpikeSolver000
BicorSolver000
CandidateFilter-class000
EnsembleSolver0.010.000.02
FootprintFilter-class000
GeneOntologyFilter-class0.020.020.03
HumanDHSFilter-class000
LassoPVSolver000
LassoSolver0.000.010.02
MotifMatcher-class0.200.020.22
PearsonSolver0.010.000.01
RandomForestSolver0.040.000.03
RidgeSolver000
Solver-class000
SpearmanSolver0.020.000.02
Trena-class000
VarianceFilter-class000
XGBoostSolver0.010.000.01
assessSnp000
createGeneModelFromRegulatoryRegions000
createGeneModelFromTfList000
findMatchesByChromosomalRegion000
getAssayData0.020.000.02
getAvailableSolvers000
getCandidates-FootprintFilter-method000
getCandidates-GeneOntologyFilter-method0.590.030.62
getCandidates-HumanDHSFilter-method000
getCandidates-VarianceFilter-method0.020.000.02
getChromLoc000
getEncodeRegulatoryTableNames-HumanDHSFilter000
getFootprintsForGene0.010.000.01
getFootprintsInRegion0.020.000.02
getGeneModelTableColumnNames000
getGenePromoterRegion000
getGtfGeneBioTypes0.010.000.01
getGtfMoleculeTypes000
getPfms0.190.000.19
getPromoterRegionsAllGenes0.050.000.05
getProximalPromoter000
getRegulators0.010.000.01
getRegulatoryChromosomalRegions000
getRegulatoryRegions000
getRegulatoryTableColumnNames000
getSequence000
getSolverNames0.020.000.02
getTarget000
parseChromLocString000
parseDatabaseUri0.020.000.02
rescalePredictorWeights000
show-HumanDHSFilter-method000
show.BayesSpikeSolver000
show.BicorSolver0.000.020.02
show.EnsembleSolver0.020.000.01
show.LassoPVSolver0.010.000.02
show.LassoSolver0.000.010.01
show.MotifMatcher000
show.PearsonSolver0.070.000.07
show.RandomForestSolver0.010.000.01
show.RidgeSolver0.020.000.02
show.SpearmanSolver000
show.XGBoostSolver0.010.000.01
solve.BayesSpike000
solve.Bicor0.020.000.02
solve.Ensemble000
solve.Lasso1.580.031.61
solve.LassoPV0.150.000.15
solve.Pearson0.020.000.02
solve.RandomForest2.860.002.86
solve.Ridge2.700.052.75
solve.Spearman0.030.000.04
solve.XGBoost1.470.050.84