Back to Multiple platform build/check report for BioC 3.23:   simplified   long
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This page was generated on 2026-04-29 10:15 -0400 (Wed, 29 Apr 2026).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 24.04.4 LTS)x86_644.6.0 RC (2026-04-17 r89917) -- "Because it was There" 4988
kjohnson3macOS 13.7.7 Venturaarm644.6.0 Patched (2026-04-24 r89963) -- "Because it was There" 4694
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 2078/2415HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
singleCellTK 2.22.0  (landing page)
Joshua David Campbell
Snapshot Date: 2026-04-28 14:14 -0400 (Tue, 28 Apr 2026)
git_url: https://git.bioconductor.org/packages/singleCellTK
git_branch: RELEASE_3_23
git_last_commit: 1867491
git_last_commit_date: 2026-04-28 09:03:00 -0400 (Tue, 28 Apr 2026)
nebbiolo1Linux (Ubuntu 24.04.4 LTS) / x86_64  OK    OK    ERROR  
kjohnson3macOS 13.7.7 Ventura / arm64  OK    OK    WARNINGS    OK  YES
See other builds for singleCellTK in R Universe.


CHECK results for singleCellTK on nebbiolo1

To the developers/maintainers of the singleCellTK package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/singleCellTK.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: singleCellTK
Version: 2.22.0
Command: /home/biocbuild/bbs-3.23-bioc/R/bin/R CMD check --install=check:singleCellTK.install-out.txt --library=/home/biocbuild/bbs-3.23-bioc/R/site-library --timings singleCellTK_2.22.0.tar.gz
StartedAt: 2026-04-29 05:13:16 -0400 (Wed, 29 Apr 2026)
EndedAt: 2026-04-29 05:30:28 -0400 (Wed, 29 Apr 2026)
EllapsedTime: 1031.2 seconds
RetCode: 1
Status:   ERROR  
CheckDir: singleCellTK.Rcheck
Warnings: NA

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.23-bioc/R/bin/R CMD check --install=check:singleCellTK.install-out.txt --library=/home/biocbuild/bbs-3.23-bioc/R/site-library --timings singleCellTK_2.22.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.23-bioc/meat/singleCellTK.Rcheck’
* using R version 4.6.0 RC (2026-04-17 r89917)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
    GNU Fortran (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
* running under: Ubuntu 24.04.4 LTS
* using session charset: UTF-8
* current time: 2026-04-29 09:13:17 UTC
* checking for file ‘singleCellTK/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘singleCellTK’ version ‘2.22.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... INFO
Imports includes 80 non-default packages.
Importing from so many packages makes the package vulnerable to any of
them becoming unavailable.  Move as many as possible to Suggests and
use conditionally.
* 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 ‘singleCellTK’ can be installed ... OK
* checking installed package size ... INFO
  installed size is  5.6Mb
  sub-directories of 1Mb or more:
    R       1.0Mb
    shiny   2.3Mb
* 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 loading without being on the library search path ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... WARNING
Missing or unexported object: 'harmony::HarmonyMatrix'
* 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 ... WARNING
Missing link(s) in Rd file 'runHarmony.Rd':
  ‘[harmony]{HarmonyMatrix}’

See section 'Cross-references' in the 'Writing R Extensions' manual.

Found the following Rd file(s) with Rd \link{} targets missing package
anchors:
  dedupRowNames.Rd: SingleCellExperiment-class
  detectCellOutlier.Rd: colData
  diffAbundanceFET.Rd: colData
  downSampleCells.Rd: SingleCellExperiment-class
  downSampleDepth.Rd: SingleCellExperiment-class
  featureIndex.Rd: SummarizedExperiment-class,
    SingleCellExperiment-class
  getBiomarker.Rd: SingleCellExperiment-class
  getDEGTopTable.Rd: SingleCellExperiment-class
  getEnrichRResult.Rd: SingleCellExperiment-class
  getFindMarkerTopTable.Rd: SingleCellExperiment-class
  getGenesetNamesFromCollection.Rd: SingleCellExperiment-class
  getPathwayResultNames.Rd: SingleCellExperiment-class
  getSampleSummaryStatsTable.Rd: SingleCellExperiment-class, assay,
    colData
  getSoupX.Rd: SingleCellExperiment-class
  getTSCANResults.Rd: SingleCellExperiment-class
  getTopHVG.Rd: SingleCellExperiment-class
  importAlevin.Rd: DelayedArray, readMM
  importAnnData.Rd: DelayedArray, readMM
  importBUStools.Rd: readMM
  importCellRanger.Rd: readMM, DelayedArray
  importCellRangerV2Sample.Rd: readMM, DelayedArray
  importCellRangerV3Sample.Rd: readMM, DelayedArray
  importDropEst.Rd: DelayedArray, readMM
  importExampleData.Rd: scRNAseq, Matrix, DelayedArray,
    ReprocessedFluidigmData, ReprocessedAllenData, NestorowaHSCData
  importFromFiles.Rd: readMM, DelayedArray, SingleCellExperiment-class
  importGeneSetsFromCollection.Rd: GeneSetCollection-class,
    SingleCellExperiment-class, GeneSetCollection, GSEABase, metadata
  importGeneSetsFromGMT.Rd: GeneSetCollection-class,
    SingleCellExperiment-class, getGmt, GSEABase, metadata
  importGeneSetsFromList.Rd: GeneSetCollection-class,
    SingleCellExperiment-class, GSEABase, metadata
  importGeneSetsFromMSigDB.Rd: SingleCellExperiment-class, msigdbr,
    GeneSetCollection-class, GSEABase, metadata
  importMitoGeneSet.Rd: SingleCellExperiment-class,
    GeneSetCollection-class, GSEABase, metadata
  importMultipleSources.Rd: DelayedArray
  importOptimus.Rd: readMM, DelayedArray
  importSEQC.Rd: readMM, DelayedArray
  importSTARsolo.Rd: readMM, DelayedArray
  iterateSimulations.Rd: SingleCellExperiment-class
  listSampleSummaryStatsTables.Rd: SingleCellExperiment-class, metadata
  plotBarcodeRankDropsResults.Rd: SingleCellExperiment-class
  plotBarcodeRankScatter.Rd: SingleCellExperiment-class
  plotBatchCorrCompare.Rd: SingleCellExperiment-class
  plotBatchVariance.Rd: SingleCellExperiment-class
  plotBcdsResults.Rd: SingleCellExperiment-class
  plotClusterAbundance.Rd: colData
  plotCxdsResults.Rd: SingleCellExperiment-class
  plotDEGHeatmap.Rd: SingleCellExperiment-class
  plotDEGRegression.Rd: SingleCellExperiment-class
  plotDEGViolin.Rd: SingleCellExperiment-class
  plotDEGVolcano.Rd: SingleCellExperiment-class
  plotDecontXResults.Rd: SingleCellExperiment-class
  plotDoubletFinderResults.Rd: SingleCellExperiment-class
  plotEmptyDropsResults.Rd: SingleCellExperiment-class
  plotEmptyDropsScatter.Rd: SingleCellExperiment-class
  plotEnrichR.Rd: SingleCellExperiment-class
  plotFindMarkerHeatmap.Rd: SingleCellExperiment-class
  plotPCA.Rd: SingleCellExperiment-class
  plotPathway.Rd: SingleCellExperiment-class
  plotRunPerCellQCResults.Rd: SingleCellExperiment-class
  plotSCEBarAssayData.Rd: SingleCellExperiment-class
  plotSCEBarColData.Rd: SingleCellExperiment-class
  plotSCEBatchFeatureMean.Rd: SingleCellExperiment-class
  plotSCEDensity.Rd: SingleCellExperiment-class
  plotSCEDensityAssayData.Rd: SingleCellExperiment-class
  plotSCEDensityColData.Rd: SingleCellExperiment-class
  plotSCEDimReduceColData.Rd: SingleCellExperiment-class
  plotSCEDimReduceFeatures.Rd: SingleCellExperiment-class
  plotSCEHeatmap.Rd: SingleCellExperiment-class
  plotSCEScatter.Rd: SingleCellExperiment-class
  plotSCEViolin.Rd: SingleCellExperiment-class
  plotSCEViolinAssayData.Rd: SingleCellExperiment-class
  plotSCEViolinColData.Rd: SingleCellExperiment-class
  plotScDblFinderResults.Rd: SingleCellExperiment-class
  plotScdsHybridResults.Rd: SingleCellExperiment-class
  plotScrubletResults.Rd: SingleCellExperiment-class
  plotSoupXResults.Rd: SingleCellExperiment-class
  plotTSCANClusterDEG.Rd: SingleCellExperiment-class
  plotTSCANClusterPseudo.Rd: SingleCellExperiment-class
  plotTSCANDimReduceFeatures.Rd: SingleCellExperiment-class
  plotTSCANPseudotimeGenes.Rd: SingleCellExperiment-class
  plotTSCANPseudotimeHeatmap.Rd: SingleCellExperiment-class
  plotTSCANResults.Rd: SingleCellExperiment-class
  plotTSNE.Rd: SingleCellExperiment-class
  plotUMAP.Rd: SingleCellExperiment-class
  readSingleCellMatrix.Rd: DelayedArray
  reportCellQC.Rd: SingleCellExperiment-class
  reportClusterAbundance.Rd: colData
  reportDiffAbundanceFET.Rd: colData
  retrieveSCEIndex.Rd: SingleCellExperiment-class
  runBBKNN.Rd: SingleCellExperiment-class
  runBarcodeRankDrops.Rd: SingleCellExperiment-class, colData
  runBcds.Rd: SingleCellExperiment-class, colData
  runCellQC.Rd: colData
  runComBatSeq.Rd: SingleCellExperiment-class
  runCxds.Rd: SingleCellExperiment-class, colData
  runCxdsBcdsHybrid.Rd: colData
  runDEAnalysis.Rd: SingleCellExperiment-class
  runDecontX.Rd: colData
  runDimReduce.Rd: SingleCellExperiment-class
  runDoubletFinder.Rd: SingleCellExperiment-class
  runDropletQC.Rd: colData
  runEmptyDrops.Rd: SingleCellExperiment-class, colData
  runEnrichR.Rd: SingleCellExperiment-class
  runFastMNN.Rd: SingleCellExperiment-class, BiocParallelParam-class
  runFeatureSelection.Rd: SingleCellExperiment-class
  runFindMarker.Rd: SingleCellExperiment-class
  runGSVA.Rd: SingleCellExperiment-class
  runHarmony.Rd: SingleCellExperiment-class
  runKMeans.Rd: SingleCellExperiment-class, colData
  runLimmaBC.Rd: SingleCellExperiment-class, assay
  runMNNCorrect.Rd: SingleCellExperiment-class, assay,
    BiocParallelParam-class
  runModelGeneVar.Rd: SingleCellExperiment-class
  runPerCellQC.Rd: SingleCellExperiment-class, BiocParallelParam,
    colData
  runSCANORAMA.Rd: SingleCellExperiment-class, assay
  runSCMerge.Rd: SingleCellExperiment-class, colData, assay,
    BiocParallelParam-class
  runScDblFinder.Rd: SingleCellExperiment-class, colData
  runScranSNN.Rd: SingleCellExperiment-class, reducedDim, assay,
    altExp, colData, igraph
  runScrublet.Rd: SingleCellExperiment-class, colData
  runSingleR.Rd: SingleCellExperiment-class
  runSoupX.Rd: SingleCellExperiment-class
  runTSCAN.Rd: SingleCellExperiment-class
  runTSCANClusterDEAnalysis.Rd: SingleCellExperiment-class
  runTSCANDEG.Rd: SingleCellExperiment-class
  runTSNE.Rd: SingleCellExperiment-class
  runUMAP.Rd: SingleCellExperiment-class, BiocParallelParam-class
  runVAM.Rd: SingleCellExperiment-class
  runZINBWaVE.Rd: SingleCellExperiment-class, colData,
    BiocParallelParam-class
  sampleSummaryStats.Rd: SingleCellExperiment-class, assay, colData
  scaterPCA.Rd: SingleCellExperiment-class, BiocParallelParam-class
  scaterlogNormCounts.Rd: logNormCounts
  sctkListGeneSetCollections.Rd: GeneSetCollection-class
  sctkPythonInstallConda.Rd: conda_install, reticulate, conda_create
  sctkPythonInstallVirtualEnv.Rd: virtualenv_install, reticulate,
    virtualenv_create
  selectSCTKConda.Rd: reticulate
  selectSCTKVirtualEnvironment.Rd: reticulate
  setRowNames.Rd: SingleCellExperiment-class
  setSCTKDisplayRow.Rd: SingleCellExperiment-class
  singleCellTK.Rd: SingleCellExperiment-class
  subsetSCECols.Rd: SingleCellExperiment-class
  subsetSCERows.Rd: SingleCellExperiment-class, altExp
  summarizeSCE.Rd: SingleCellExperiment-class
Please provide package anchors for all Rd \link{} targets not in the
package itself and the base packages.
* 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 R/sysdata.rda ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... WARNING
Found the following significant warnings:

  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'librarySizeFactors' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in fitTrendVar(fm, fv, ...) : 'fitTrendVar' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in fitTrendVar(fm, fv, ...) : 'fitTrendVar' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'pairwiseWilcox' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'sumCountsAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'summarizeAssayByGroup' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in fitTrendVar(fm, fv, ...) : 'fitTrendVar' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'librarySizeFactors' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'aggregateAcrossCells' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
  Warning in fitTrendVar(fm, fv, ...) : 'fitTrendVar' is deprecated.
  Warning in .local(x, ...) : 'normalizeCounts' is deprecated.
Deprecated functions may be defunct as soon as of the next release of
R.
See ?Deprecated.
Examples with CPU (user + system) or elapsed time > 5s
                           user system elapsed
plotDoubletFinderResults 37.293  0.245  37.543
runDoubletFinder         30.589  0.069  30.660
runSeuratSCTransform     28.930  0.567  29.505
plotScDblFinderResults   27.330  0.939  25.312
runScDblFinder           17.526  1.047  15.629
plotBatchCorrCompare     11.758  0.448  12.208
importExampleData         9.669  1.062  11.036
plotScdsHybridResults     9.444  0.583   9.376
plotDEGViolin             9.141  0.242  11.041
plotBcdsResults           8.121  0.292   7.789
plotDecontXResults        8.289  0.095   8.383
plotUMAP                  6.624  0.258   6.882
plotEmptyDropsResults     6.732  0.025   6.758
runUMAP                   6.700  0.011   6.713
plotEmptyDropsScatter     6.675  0.023   6.698
runDecontX                6.635  0.007   6.643
plotCxdsResults           6.497  0.082   6.579
runEmptyDrops             6.314  0.011   6.326
detectCellOutlier         6.114  0.146   6.260
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘spelling.R’
  Running ‘testthat.R’
 ERROR
Running the tests in ‘tests/testthat.R’ failed.
Last 13 lines of output:
  [----|----|----|----|----|----|----|----|----|----|
  **************************************************|
  [ FAIL 1 | WARN 84 | SKIP 0 | PASS 223 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-enrichment.R:46:5'): Testing correct function usage ────────────
  Error in `runEnrichR(sce, rownames(sce)[1:5], "analysis2", featureName = "feature_name", db = "HDSigDB_Human_2021")`: Database(s) HDSigDB_Human_2021 were not found in Enrichr.
  Backtrace:
      ▆
   1. └─singleCellTK::runEnrichR(...) at test-enrichment.R:46:5
  
  [ FAIL 1 | WARN 84 | SKIP 0 | PASS 223 ]
  Error:
  ! Test failures.
  Execution halted
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE

Status: 1 ERROR, 3 WARNINGs
See
  ‘/home/biocbuild/bbs-3.23-bioc/meat/singleCellTK.Rcheck/00check.log’
for details.


Installation output

singleCellTK.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.23-bioc/R/bin/R CMD INSTALL singleCellTK
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.23-bioc/R/site-library’
* installing *source* package ‘singleCellTK’ ...
** this is package ‘singleCellTK’ version ‘2.22.0’
** using staged installation
** R
** data
** exec
** 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 (singleCellTK)

Tests output

singleCellTK.Rcheck/tests/spelling.Rout


R version 4.6.0 RC (2026-04-17 r89917) -- "Because it was There"
Copyright (C) 2026 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

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.

> if (requireNamespace('spelling', quietly = TRUE))
+   spelling::spell_check_test(vignettes = TRUE, error = FALSE, skip_on_cran = TRUE)
All Done!
> 
> proc.time()
   user  system elapsed 
  0.142   0.041   0.171 

singleCellTK.Rcheck/tests/testthat.Rout.fail


R version 4.6.0 RC (2026-04-17 r89917) -- "Because it was There"
Copyright (C) 2026 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

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.

> library(testthat)
> library(singleCellTK)
Loading required package: SummarizedExperiment
Loading required package: MatrixGenerics
Loading required package: matrixStats

Attaching package: 'MatrixGenerics'

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

    colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
    colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
    colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
    colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
    colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
    colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
    colWeightedMeans, colWeightedMedians, colWeightedSds,
    colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
    rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
    rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
    rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
    rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
    rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
    rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
    rowWeightedSds, rowWeightedVars

Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: generics

Attaching package: 'generics'

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

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Welcome to Bioconductor

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> 
> test_check("singleCellTK")
Found 2 batches
Using null model in ComBat-seq.
Adjusting for 0 covariate(s) or covariate level(s)
Estimating dispersions
Fitting the GLM model
Shrinkage off - using GLM estimates for parameters
Adjusting the data
Found 2 batches
Using null model in ComBat-seq.
Adjusting for 1 covariate(s) or covariate level(s)
Estimating dispersions
Fitting the GLM model
Shrinkage off - using GLM estimates for parameters
Adjusting the data
Performing log-normalization
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|

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Calculating gene variances
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|

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Calculating gene variances
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Saving _problems/test-enrichment-48.R
Performing log-normalization
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene variances
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene means
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[----|----|----|----|----|----|----|----|----|----|
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Calculating gene variance to mean ratios
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene means
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene variance to mean ratios
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Performing log-normalization
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating gene variances
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
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[----|----|----|----|----|----|----|----|----|----|
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[05:28:14] WARNING: src/learner.cc:782: 
Parameters: { "nthreads" } are not used.

[05:28:15] WARNING: src/learner.cc:782: 
Parameters: { "nthreads" } are not used.

Performing log-normalization
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[----|----|----|----|----|----|----|----|----|----|
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Calculating gene variances
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Calculating feature variances of standardized and clipped values
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|

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Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 390
Number of edges: 9849

Running Louvain algorithm...
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.8351
Number of communities: 7
Elapsed time: 0 seconds
Using method 'umap'
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|

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Performing log-normalization
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[----|----|----|----|----|----|----|----|----|----|
**************************************************|
[ FAIL 1 | WARN 84 | SKIP 0 | PASS 223 ]

══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-enrichment.R:46:5'): Testing correct function usage ────────────
Error in `runEnrichR(sce, rownames(sce)[1:5], "analysis2", featureName = "feature_name", db = "HDSigDB_Human_2021")`: Database(s) HDSigDB_Human_2021 were not found in Enrichr.
Backtrace:
    ▆
 1. └─singleCellTK::runEnrichR(...) at test-enrichment.R:46:5

[ FAIL 1 | WARN 84 | SKIP 0 | PASS 223 ]
Error:
! Test failures.
Execution halted

Example timings

singleCellTK.Rcheck/singleCellTK-Ex.timings

nameusersystemelapsed
MitoGenes0.0020.0000.003
SEG0.0020.0010.003
calcEffectSizes0.1570.0040.162
combineSCE0.7560.0920.849
computeZScore0.2770.0170.295
convertSCEToSeurat4.6540.2634.918
convertSeuratToSCE0.3280.0010.329
dedupRowNames0.0590.0000.060
detectCellOutlier6.1140.1466.260
diffAbundanceFET0.0500.0030.054
discreteColorPalette0.0060.0000.006
distinctColors0.0030.0000.003
downSampleCells0.5040.0350.539
downSampleDepth0.3970.0150.411
expData-ANY-character-method0.1180.0030.121
expData-set-ANY-character-CharacterOrNullOrMissing-logical-method0.1580.0010.159
expData-set0.1390.0070.146
expData0.1210.0000.122
expDataNames-ANY-method0.1080.0020.110
expDataNames0.1100.0010.111
expDeleteDataTag0.0300.0020.032
expSetDataTag0.0230.0000.023
expTaggedData0.0240.0010.025
exportSCE0.0210.0000.021
exportSCEtoAnnData0.0910.0050.097
exportSCEtoFlatFile0.0880.0080.096
featureIndex0.0360.0010.037
generateSimulatedData0.0510.0000.051
getBiomarker0.0570.0020.059
getDEGTopTable0.700.050.75
getDiffAbundanceResults0.0450.0000.045
getEnrichRResult0.5500.0922.810
getFindMarkerTopTable1.7010.1521.853
getMSigDBTable0.0020.0020.004
getPathwayResultNames0.0230.0000.023
getSampleSummaryStatsTable0.2940.0220.315
getSoupX0.0010.0000.000
getTSCANResults1.1040.1371.240
getTopHVG0.7550.0650.821
importAnnData0.0020.0000.002
importBUStools0.1550.0130.169
importCellRanger0.7380.0760.816
importCellRangerV2Sample0.1420.0060.148
importCellRangerV3Sample0.2920.0110.302
importDropEst0.1890.0030.193
importExampleData 9.669 1.06211.036
importGeneSetsFromCollection0.0730.0000.073
importGeneSetsFromGMT0.0570.0040.061
importGeneSetsFromList0.1190.0000.119
importGeneSetsFromMSigDB2.1500.1882.339
importMitoGeneSet0.0500.0010.051
importOptimus0.0010.0010.002
importSEQC0.1000.0040.105
importSTARsolo0.1370.0010.138
iterateSimulations0.1630.0030.165
listSampleSummaryStatsTables0.2830.0070.290
mergeSCEColData0.3320.0050.337
mouseBrainSubsetSCE0.0350.0010.036
msigdb_table0.0010.0010.002
plotBarcodeRankDropsResults0.8510.0290.879
plotBarcodeRankScatter0.8070.0140.821
plotBatchCorrCompare11.758 0.44812.208
plotBatchVariance0.4330.0860.519
plotBcdsResults8.1210.2927.789
plotBubble0.8060.0080.815
plotClusterAbundance1.2710.0081.279
plotCxdsResults6.4970.0826.579
plotDEGHeatmap2.1040.0052.288
plotDEGRegression4.3350.0464.493
plotDEGViolin 9.141 0.24211.041
plotDEGVolcano0.9140.0270.941
plotDecontXResults8.2890.0958.383
plotDimRed0.2760.0020.277
plotDoubletFinderResults37.293 0.24537.543
plotEmptyDropsResults6.7320.0256.758
plotEmptyDropsScatter6.6750.0236.698
plotFindMarkerHeatmap3.7820.0533.835
plotMASTThresholdGenes1.2070.0261.232
plotPCA0.3790.0060.385
plotPathway0.6630.0030.666
plotRunPerCellQCResults2.9960.0583.054
plotSCEBarAssayData0.2670.0080.275
plotSCEBarColData0.2260.0000.226
plotSCEBatchFeatureMean0.4020.0000.401
plotSCEDensity0.2990.0060.305
plotSCEDensityAssayData0.2670.0000.267
plotSCEDensityColData0.3360.0000.336
plotSCEDimReduceColData0.7530.0050.758
plotSCEDimReduceFeatures0.3730.0010.374
plotSCEHeatmap0.4450.0000.445
plotSCEScatter0.3370.0020.338
plotSCEViolin0.3530.0020.355
plotSCEViolinAssayData0.3770.0000.377
plotSCEViolinColData0.3430.0000.343
plotScDblFinderResults27.330 0.93925.312
plotScanpyDotPlot0.0240.0000.024
plotScanpyEmbedding0.0200.0020.022
plotScanpyHVG0.0210.0000.021
plotScanpyHeatmap0.0200.0020.022
plotScanpyMarkerGenes0.0200.0020.022
plotScanpyMarkerGenesDotPlot0.0220.0000.022
plotScanpyMarkerGenesHeatmap0.0210.0010.022
plotScanpyMarkerGenesMatrixPlot0.0210.0000.021
plotScanpyMarkerGenesViolin0.0200.0020.022
plotScanpyMatrixPlot0.0190.0020.021
plotScanpyPCA0.0200.0020.022
plotScanpyPCAGeneRanking0.0210.0010.022
plotScanpyPCAVariance0.0200.0010.021
plotScanpyViolin0.0220.0000.022
plotScdsHybridResults9.4440.5839.376
plotScrubletResults0.0240.0000.024
plotSeuratElbow0.0230.0000.023
plotSeuratHVG0.0230.0000.023
plotSeuratJackStraw0.0210.0010.023
plotSeuratReduction0.0210.0010.022
plotSoupXResults000
plotTSCANClusterDEG4.7550.0654.820
plotTSCANClusterPseudo1.4030.0231.427
plotTSCANDimReduceFeatures1.3330.0131.346
plotTSCANPseudotimeGenes1.6230.0491.672
plotTSCANPseudotimeHeatmap1.3100.0271.338
plotTSCANResults1.1790.0481.227
plotTSNE0.3620.0030.365
plotTopHVG0.6520.0390.691
plotUMAP6.6240.2586.882
readSingleCellMatrix0.0040.0020.006
reportCellQC0.0750.0010.077
reportDropletQC0.0210.0000.021
reportQCTool0.0750.0000.075
retrieveSCEIndex0.0260.0010.027
runBBKNN000
runBarcodeRankDrops0.2000.0010.202
runBcds1.4710.0790.955
runCellQC0.0850.0000.085
runClusterSummaryMetrics0.3650.0040.369
runComBatSeq0.4450.0110.455
runCxds0.3000.0020.302
runCxdsBcdsHybrid1.5150.0610.987
runDEAnalysis0.3720.0030.375
runDecontX6.6350.0076.643
runDimReduce0.2720.0030.275
runDoubletFinder30.589 0.06930.660
runDropletQC0.0200.0020.022
runEmptyDrops6.3140.0116.326
runEnrichR0.5210.0232.513
runFastMNN1.5900.0201.609
runFeatureSelection0.2040.0000.204
runFindMarker1.4530.0071.460
runGSVA0.6280.0110.640
runHarmony0.0390.0000.039
runKMeans0.2070.0030.210
runLimmaBC0.0760.0020.077
runMNNCorrect0.3650.0020.366
runModelGeneVar0.2710.0010.272
runNormalization2.1900.3572.548
runPerCellQC0.3310.0160.347
runSCANORAMA0.0000.0000.001
runSCMerge0.0040.0000.005
runScDblFinder17.526 1.04715.629
runScanpyFindClusters0.0200.0010.022
runScanpyFindHVG0.0210.0010.021
runScanpyFindMarkers0.0200.0010.022
runScanpyNormalizeData0.0910.0050.095
runScanpyPCA0.0210.0010.022
runScanpyScaleData0.0210.0000.022
runScanpyTSNE0.0220.0000.021
runScanpyUMAP0.0220.0000.022
runScranSNN0.2770.0080.285
runScrublet0.0230.0000.023
runSeuratFindClusters0.0220.0000.021
runSeuratFindHVG0.4370.0260.462
runSeuratHeatmap0.0210.0010.022
runSeuratICA0.0220.0000.022
runSeuratJackStraw0.0210.0070.029
runSeuratNormalizeData0.0200.0020.022
runSeuratPCA0.0200.0010.022
runSeuratSCTransform28.930 0.56729.505
runSeuratScaleData0.0230.0010.023
runSeuratUMAP0.0230.0000.022
runSingleR0.0350.0010.037
runSoupX0.0000.0000.001
runTSCAN0.6240.0040.629
runTSCANClusterDEAnalysis0.7680.0120.779
runTSCANDEG0.7150.0020.717
runTSNE0.7380.0010.739
runUMAP6.7000.0116.713
runVAM0.2840.0000.284
runZINBWaVE0.0020.0020.004
sampleSummaryStats0.1500.0010.151
scaterCPM0.1510.0020.154
scaterPCA0.4260.0010.427
scaterlogNormCounts0.2260.0080.234
sce0.0200.0010.021
sctkListGeneSetCollections0.0800.0020.082
sctkPythonInstallConda000
sctkPythonInstallVirtualEnv000
selectSCTKConda000
selectSCTKVirtualEnvironment0.0010.0000.001
setRowNames0.0870.0090.096
setSCTKDisplayRow0.4310.0110.442
singleCellTK000
subDiffEx0.3110.0010.312
subsetSCECols0.0760.0000.076
subsetSCERows0.2050.0010.206
summarizeSCE0.0640.0010.065
trimCounts0.1980.0060.204