Back to Multiple platform build/check report for BioC 3.21: simplified long |
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This page was generated on 2024-12-12 11:41 -0500 (Thu, 12 Dec 2024).
Hostname | OS | Arch (*) | R version | Installed pkgs |
---|---|---|---|---|
nebbiolo1 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | R Under development (unstable) (2024-10-21 r87258) -- "Unsuffered Consequences" | 4752 |
palomino7 | Windows Server 2022 Datacenter | x64 | R Under development (unstable) (2024-10-26 r87273 ucrt) -- "Unsuffered Consequences" | 4464 |
lconway | macOS 12.7.1 Monterey | x86_64 | R Under development (unstable) (2024-11-20 r87352) -- "Unsuffered Consequences" | 4415 |
kjohnson3 | macOS 13.7.1 Ventura | arm64 | R Under development (unstable) (2024-11-20 r87352) -- "Unsuffered Consequences" | 4370 |
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) | aarch64 | R Under development (unstable) (2024-11-24 r87369) -- "Unsuffered Consequences" | 4279 |
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 1960/2273 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
singleCellTK 2.17.0 (landing page) Joshua David Campbell
| nebbiolo1 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | ERROR | |||||||||
palomino7 | Windows Server 2022 Datacenter / x64 | OK | OK | ERROR | OK | |||||||||
lconway | macOS 12.7.1 Monterey / x86_64 | ERROR | ERROR | skipped | skipped | |||||||||
kjohnson3 | macOS 13.7.1 Ventura / arm64 | ERROR | ERROR | skipped | skipped | |||||||||
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) / aarch64 | ERROR | ERROR | skipped | ||||||||||
To the developers/maintainers of the singleCellTK package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to [email protected]: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. |
Package: singleCellTK |
Version: 2.17.0 |
Command: /home/biocbuild/bbs-3.21-bioc/R/bin/R CMD check --install=check:singleCellTK.install-out.txt --library=/home/biocbuild/bbs-3.21-bioc/R/site-library --timings singleCellTK_2.17.0.tar.gz |
StartedAt: 2024-12-12 06:35:34 -0500 (Thu, 12 Dec 2024) |
EndedAt: 2024-12-12 06:47:48 -0500 (Thu, 12 Dec 2024) |
EllapsedTime: 733.6 seconds |
RetCode: 1 |
Status: ERROR |
CheckDir: singleCellTK.Rcheck |
Warnings: NA |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.21-bioc/R/bin/R CMD check --install=check:singleCellTK.install-out.txt --library=/home/biocbuild/bbs-3.21-bioc/R/site-library --timings singleCellTK_2.17.0.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/home/biocbuild/bbs-3.21-bioc/meat/singleCellTK.Rcheck’ * using R Under development (unstable) (2024-10-21 r87258) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Ubuntu 13.2.0-23ubuntu4) 13.2.0 GNU Fortran (Ubuntu 13.2.0-23ubuntu4) 13.2.0 * running under: Ubuntu 24.04.1 LTS * using session charset: UTF-8 * checking for file ‘singleCellTK/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘singleCellTK’ version ‘2.17.0’ * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ...Warning: unable to access index for repository https://CRAN.R-project.org/src/contrib: cannot open URL 'https://CRAN.R-project.org/src/contrib/PACKAGES' INFO Imports includes 79 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: shiny 2.3Mb * checking package directory ... OK * checking ‘build’ directory ... OK * checking DESCRIPTION meta-information ... NOTE License stub is invalid DCF. * 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 ... 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 ... NOTE 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 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 ... ERROR Running examples in ‘singleCellTK-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: plotBarcodeRankDropsResults > ### Title: Plots for runBarcodeRankDrops outputs. > ### Aliases: plotBarcodeRankDropsResults > > ### ** Examples > > data(scExample, package = "singleCellTK") > sce <- runBarcodeRankDrops(inSCE = sce) Thu Dec 12 06:44:00 2024 ... Running 'barcodeRanks' Error in dimnames(x) <- dn : length of 'dimnames' [2] not equal to array extent Calls: runBarcodeRankDrops -> .runBarcodeRankDrops -> colnames<- Execution halted Examples with CPU (user + system) or elapsed time > 5s user system elapsed importExampleData 11.654 1.005 13.085 getEnrichRResult 0.596 0.034 6.016 * 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: 2. └─singleCellTK:::.runBarcodeRankDrops(...) 3. └─base::`colnames<-`(...) ── Error ('test-qc.R:75:1'): (code run outside of `test_that()`) ─────────────── Error in `dimnames(x) <- dn`: length of 'dimnames' [2] not equal to array extent Backtrace: ▆ 1. └─singleCellTK::runDropletQC(sceDroplet) at test-qc.R:75:1 2. ├─base::do.call(...) 3. └─singleCellTK (local) `<fn>`(inSCE = inSCE, sample = NULL, useAssay = "counts") 4. └─singleCellTK:::.runBarcodeRankDrops(...) 5. └─base::`colnames<-`(...) [ FAIL 2 | WARN 20 | SKIP 0 | PASS 210 ] 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: 2 ERRORs, 2 NOTEs See ‘/home/biocbuild/bbs-3.21-bioc/meat/singleCellTK.Rcheck/00check.log’ for details.
singleCellTK.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.21-bioc/R/bin/R CMD INSTALL singleCellTK ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.21-bioc/R/site-library’ * installing *source* package ‘singleCellTK’ ... ** 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)
singleCellTK.Rcheck/tests/spelling.Rout
R Under development (unstable) (2024-10-21 r87258) -- "Unsuffered Consequences" Copyright (C) 2024 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) NULL > > proc.time() user system elapsed 0.145 0.027 0.159
singleCellTK.Rcheck/tests/testthat.Rout.fail
R Under development (unstable) (2024-10-21 r87258) -- "Unsuffered Consequences" Copyright (C) 2024 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': as.difftime, as.factor, as.ordered, intersect, is.element, setdiff, setequal, union Attaching package: 'BiocGenerics' The following objects are masked from 'package:stats': IQR, mad, sd, var, xtabs The following objects are masked from 'package:base': Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append, as.data.frame, basename, cbind, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, saveRDS, table, tapply, unique, unsplit, which.max, which.min Loading required package: S4Vectors Attaching package: 'S4Vectors' The following object is masked from 'package:utils': findMatches The following objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Loading required package: GenomeInfoDb 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")'. Attaching package: 'Biobase' The following object is masked from 'package:MatrixGenerics': rowMedians The following objects are masked from 'package:matrixStats': anyMissing, rowMedians Loading required package: SingleCellExperiment Loading required package: DelayedArray Loading required package: Matrix Attaching package: 'Matrix' The following object is masked from 'package:S4Vectors': expand Loading required package: S4Arrays Loading required package: abind Attaching package: 'S4Arrays' The following object is masked from 'package:abind': abind The following object is masked from 'package:base': rowsum Loading required package: SparseArray Attaching package: 'DelayedArray' The following objects are masked from 'package:base': apply, scale, sweep Attaching package: 'singleCellTK' The following object is masked from 'package:BiocGenerics': plotPCA > > 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 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 0% | |======================================================================| 100% Calculating gene variances 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating feature variances of standardized and clipped values 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 0% | |======================================================================| 100% | | | 0% | |======================================================================| 100% Calculating gene variances 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating feature variances of standardized and clipped values 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Uploading data to Enrichr... Done. Querying HDSigDB_Human_2021... Done. Parsing results... Done. Performing log-normalization 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating gene variances 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating feature variances of standardized and clipped values 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating gene means 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating gene variance to mean ratios 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating gene means 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating gene variance to mean ratios 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Performing log-normalization 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating gene variances 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating feature variances of standardized and clipped values 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 0% | |======================================================================| 100% Performing log-normalization 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 0% | |======================================================================| 100% Calculating gene variances 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Calculating feature variances of standardized and clipped values 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 0% | |======================================================================| 100% | | | 0% | |======================================================================| 100% 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... 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| Maximum modularity in 10 random starts: 0.8351 Number of communities: 7 Elapsed time: 0 seconds Using method 'umap' 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 0% | |======================================================================| 100% | | | 0% | |======================================================================| 100% 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 0% | |======================================================================| 100% | | | 0% | |======================================================================| 100% | | | 0% | |======================================================================| 100% | | | 0% | |======================================================================| 100% | | | 0% | |======================================================================| 100% Performing log-normalization 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| [ FAIL 2 | WARN 20 | SKIP 0 | PASS 210 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-dropletUtils.R:8:9'): Testing runBarcodeRankDrops ────────────── Error in `dimnames(x) <- dn`: length of 'dimnames' [2] not equal to array extent Backtrace: ▆ 1. └─singleCellTK::runBarcodeRankDrops(inSCE = sce) at test-dropletUtils.R:8:9 2. └─singleCellTK:::.runBarcodeRankDrops(...) 3. └─base::`colnames<-`(...) ── Error ('test-qc.R:75:1'): (code run outside of `test_that()`) ─────────────── Error in `dimnames(x) <- dn`: length of 'dimnames' [2] not equal to array extent Backtrace: ▆ 1. └─singleCellTK::runDropletQC(sceDroplet) at test-qc.R:75:1 2. ├─base::do.call(...) 3. └─singleCellTK (local) `<fn>`(inSCE = inSCE, sample = NULL, useAssay = "counts") 4. └─singleCellTK:::.runBarcodeRankDrops(...) 5. └─base::`colnames<-`(...) [ FAIL 2 | WARN 20 | SKIP 0 | PASS 210 ] Error: Test failures Execution halted
singleCellTK.Rcheck/singleCellTK-Ex.timings
name | user | system | elapsed | |
MitoGenes | 0.001 | 0.000 | 0.002 | |
SEG | 0.002 | 0.000 | 0.002 | |
calcEffectSizes | 0.244 | 0.003 | 0.247 | |
combineSCE | 1.228 | 0.011 | 1.239 | |
computeZScore | 0.201 | 0.014 | 0.216 | |
convertSCEToSeurat | 3.582 | 0.113 | 3.698 | |
convertSeuratToSCE | 0.272 | 0.008 | 0.280 | |
dedupRowNames | 0.048 | 0.003 | 0.051 | |
detectCellOutlier | 4.309 | 0.038 | 4.348 | |
diffAbundanceFET | 0.050 | 0.002 | 0.052 | |
discreteColorPalette | 0.005 | 0.000 | 0.005 | |
distinctColors | 0.002 | 0.000 | 0.002 | |
downSampleCells | 0.458 | 0.030 | 0.488 | |
downSampleDepth | 0.361 | 0.001 | 0.362 | |
expData-ANY-character-method | 0.109 | 0.001 | 0.110 | |
expData-set-ANY-character-CharacterOrNullOrMissing-logical-method | 0.137 | 0.003 | 0.140 | |
expData-set | 0.130 | 0.001 | 0.131 | |
expData | 0.107 | 0.001 | 0.108 | |
expDataNames-ANY-method | 0.101 | 0.002 | 0.103 | |
expDataNames | 0.105 | 0.002 | 0.107 | |
expDeleteDataTag | 0.029 | 0.001 | 0.030 | |
expSetDataTag | 0.021 | 0.001 | 0.022 | |
expTaggedData | 0.023 | 0.000 | 0.023 | |
exportSCE | 0.020 | 0.001 | 0.021 | |
exportSCEtoAnnData | 0.088 | 0.006 | 0.094 | |
exportSCEtoFlatFile | 0.084 | 0.010 | 0.094 | |
featureIndex | 0.031 | 0.003 | 0.034 | |
generateSimulatedData | 0.062 | 0.002 | 0.064 | |
getBiomarker | 0.052 | 0.001 | 0.053 | |
getDEGTopTable | 0.580 | 0.011 | 0.591 | |
getDiffAbundanceResults | 0.045 | 0.000 | 0.045 | |
getEnrichRResult | 0.596 | 0.034 | 6.016 | |
getFindMarkerTopTable | 1.348 | 0.083 | 1.431 | |
getMSigDBTable | 0.002 | 0.002 | 0.004 | |
getPathwayResultNames | 0.021 | 0.001 | 0.022 | |
getSampleSummaryStatsTable | 0.166 | 0.003 | 0.169 | |
getSoupX | 0 | 0 | 0 | |
getTSCANResults | 0.930 | 0.015 | 0.945 | |
getTopHVG | 0.715 | 0.009 | 0.724 | |
importAnnData | 0.001 | 0.000 | 0.001 | |
importBUStools | 0.160 | 0.002 | 0.163 | |
importCellRanger | 0.635 | 0.009 | 0.645 | |
importCellRangerV2Sample | 0.124 | 0.002 | 0.126 | |
importCellRangerV3Sample | 0.353 | 0.001 | 0.354 | |
importDropEst | 0.176 | 0.002 | 0.179 | |
importExampleData | 11.654 | 1.005 | 13.085 | |
importGeneSetsFromCollection | 0.617 | 0.029 | 0.646 | |
importGeneSetsFromGMT | 0.059 | 0.000 | 0.060 | |
importGeneSetsFromList | 0.105 | 0.001 | 0.107 | |
importGeneSetsFromMSigDB | 3.146 | 0.201 | 3.346 | |
importMitoGeneSet | 0.046 | 0.003 | 0.049 | |
importOptimus | 0.002 | 0.000 | 0.001 | |
importSEQC | 0.131 | 0.006 | 0.137 | |
importSTARsolo | 0.145 | 0.013 | 0.158 | |
iterateSimulations | 0.159 | 0.026 | 0.184 | |
listSampleSummaryStatsTables | 0.248 | 0.055 | 0.303 | |
mergeSCEColData | 0.379 | 0.034 | 0.413 | |
mouseBrainSubsetSCE | 0.033 | 0.001 | 0.034 | |
msigdb_table | 0.001 | 0.000 | 0.001 | |