Back to Multiple platform build/check report for BioC 3.14 |
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This page was generated on 2022-04-13 12:07:22 -0400 (Wed, 13 Apr 2022).
Hostname | OS | Arch (*) | R version | Installed pkgs |
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nebbiolo2 | Linux (Ubuntu 20.04.4 LTS) | x86_64 | 4.1.3 (2022-03-10) -- "One Push-Up" | 4324 |
tokay2 | Windows Server 2012 R2 Standard | x64 | 4.1.3 (2022-03-10) -- "One Push-Up" | 4077 |
machv2 | macOS 10.14.6 Mojave | x86_64 | 4.1.3 (2022-03-10) -- "One Push-Up" | 4137 |
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 |
To the developers/maintainers of the singleCellTK package: - Please 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 How and When does the builder pull? When will my changes propagate? for more information. - Make sure to use the following settings in order to reproduce any error or warning you see on this page. |
Package 1807/2083 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
singleCellTK 2.4.0 (landing page) Yichen Wang
| nebbiolo2 | Linux (Ubuntu 20.04.4 LTS) / x86_64 | OK | OK | OK | |||||||||
tokay2 | Windows Server 2012 R2 Standard / x64 | OK | OK | ERROR | OK | |||||||||
machv2 | macOS 10.14.6 Mojave / x86_64 | OK | OK | OK | OK | |||||||||
Package: singleCellTK |
Version: 2.4.0 |
Command: set _R_CHECK_FORCE_SUGGESTS_=0&& C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:singleCellTK.install-out.txt --library=C:\Users\biocbuild\bbs-3.14-bioc\R\library --no-vignettes --timings singleCellTK_2.4.0.tar.gz |
StartedAt: 2022-04-13 03:03:19 -0400 (Wed, 13 Apr 2022) |
EndedAt: 2022-04-13 03:17:27 -0400 (Wed, 13 Apr 2022) |
EllapsedTime: 847.8 seconds |
RetCode: 1 |
Status: ERROR |
CheckDir: singleCellTK.Rcheck |
Warnings: NA |
############################################################################## ############################################################################## ### ### Running command: ### ### set _R_CHECK_FORCE_SUGGESTS_=0&& C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:singleCellTK.install-out.txt --library=C:\Users\biocbuild\bbs-3.14-bioc\R\library --no-vignettes --timings singleCellTK_2.4.0.tar.gz ### ############################################################################## ############################################################################## * using log directory 'C:/Users/biocbuild/bbs-3.14-bioc/meat/singleCellTK.Rcheck' * using R version 4.1.3 (2022-03-10) * using platform: x86_64-w64-mingw32 (64-bit) * using session charset: ISO8859-1 * using option '--no-vignettes' * checking for file 'singleCellTK/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'singleCellTK' version '2.4.0' * 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 'singleCellTK' can be installed ... OK * checking installed package size ... NOTE installed size is 7.8Mb sub-directories of 1Mb or more: extdata 1.5Mb html 1.2Mb shiny 2.7Mb * 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 ... NOTE Namespaces in Imports field not imported from: 'AnnotationDbi' 'RColorBrewer' All declared Imports should be used. * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of 'data' directory ... OK * checking data for non-ASCII characters ... OK * checking LazyData ... OK * checking data for ASCII and uncompressed saves ... OK * checking R/sysdata.rda ... OK * checking files in 'vignettes' ... OK * checking examples ... ** running examples for arch 'i386' ... ERROR Running examples in 'singleCellTK-Ex.R' failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: enrichRSCE > ### Title: enrichR Given a list of genes this function runs the enrichR() > ### to perform Gene enrichment > ### Aliases: enrichRSCE > > ### ** Examples > > enrichRSCE(mouseBrainSubsetSCE, "Cmtm5", "GO_Cellular_Component_2017") EnrichR website not responding Error in enrichRSCE(mouseBrainSubsetSCE, "Cmtm5", "GO_Cellular_Component_2017") : database 'GO_Cellular_Component_2017' does not exist. Execution halted ** running examples for arch 'x64' ... ERROR Running examples in 'singleCellTK-Ex.R' failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: enrichRSCE > ### Title: enrichR Given a list of genes this function runs the enrichR() > ### to perform Gene enrichment > ### Aliases: enrichRSCE > > ### ** Examples > > enrichRSCE(mouseBrainSubsetSCE, "Cmtm5", "GO_Cellular_Component_2017") EnrichR website not responding Error in enrichRSCE(mouseBrainSubsetSCE, "Cmtm5", "GO_Cellular_Component_2017") : database 'GO_Cellular_Component_2017' does not exist. Execution halted * checking for unstated dependencies in 'tests' ... OK * checking tests ... ** running tests for arch 'i386' ... Running 'spelling.R' Running 'testthat.R' OK ** running tests for arch 'x64' ... Running 'spelling.R' Running 'testthat.R' OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes in 'inst/doc' ... OK * checking running R code from vignettes ... SKIPPED * checking re-building of vignette outputs ... SKIPPED * checking PDF version of manual ... OK * DONE Status: 2 ERRORs, 2 NOTEs See 'C:/Users/biocbuild/bbs-3.14-bioc/meat/singleCellTK.Rcheck/00check.log' for details.
singleCellTK.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### C:\cygwin\bin\curl.exe -O http://155.52.207.166/BBS/3.14/bioc/src/contrib/singleCellTK_2.4.0.tar.gz && rm -rf singleCellTK.buildbin-libdir && mkdir singleCellTK.buildbin-libdir && C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD INSTALL --merge-multiarch --build --library=singleCellTK.buildbin-libdir singleCellTK_2.4.0.tar.gz && C:\Users\biocbuild\bbs-3.14-bioc\R\bin\R.exe CMD INSTALL singleCellTK_2.4.0.zip && rm singleCellTK_2.4.0.tar.gz singleCellTK_2.4.0.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 3 42.2M 3 1641k 0 0 1695k 0 0:00:25 --:--:-- 0:00:25 1695k 10 42.2M 10 4401k 0 0 2247k 0 0:00:19 0:00:01 0:00:18 2247k 18 42.2M 18 8142k 0 0 2750k 0 0:00:15 0:00:02 0:00:13 2750k 27 42.2M 27 11.6M 0 0 3008k 0 0:00:14 0:00:03 0:00:11 3008k 34 42.2M 34 14.5M 0 0 3007k 0 0:00:14 0:00:04 0:00:10 3006k 43 42.2M 43 18.5M 0 0 3178k 0 0:00:13 0:00:05 0:00:08 3465k 55 42.2M 55 23.2M 0 0 3419k 0 0:00:12 0:00:06 0:00:06 3877k 68 42.2M 68 29.0M 0 0 3726k 0 0:00:11 0:00:07 0:00:04 4302k 84 42.2M 84 35.5M 0 0 4055k 0 0:00:10 0:00:08 0:00:02 4882k 93 42.2M 93 39.6M 0 0 4070k 0 0:00:10 0:00:09 0:00:01 5123k 100 42.2M 100 42.2M 0 0 4106k 0 0:00:10 0:00:10 --:--:-- 5317k install for i386 * installing *source* package 'singleCellTK' ... ** using staged installation ** R ** data *** moving datasets to lazyload DB ** exec ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package 'singleCellTK' finding HTML links ... done MitoGenes html SEG html calcEffectSizes html combineSCE html computeHeatmap html computeZScore html constructSCE html convertSCEToSeurat html convertSeuratToSCE html dataAnnotationColor html finding level-2 HTML links ... done dedupRowNames html detectCellOutlier html diffAbundanceFET html discreteColorPalette html distinctColors html dot-addSeuratToMetaDataSCE html dot-checkDiffExpResultExists html dot-computeSignificantPC html dot-extractSCEAnnotation html dot-formatDEAList html dot-getComponentNames html dot-ggBar html dot-ggDensity html dot-ggScatter html dot-ggViolin html dot-sce2adata html dot-seuratGetVariableFeatures html dot-seuratInvalidate html dot-updateAssaySCE html downSampleCells html downSampleDepth html enrichRSCE html expData-ANY-character-method html expData-set-ANY-character-CharacterOrNullOrMissing-logical-method html expData-set html expData html expDataNames-ANY-method html expDataNames html expDeleteDataTag html expSetDataTag html expTaggedData html exportSCE html exportSCEToSeurat html exportSCEtoAnnData html exportSCEtoFlatFile html featureIndex html findMarkerDiffExp html findMarkerTopTable html generateHTANMeta html generateMeta html generateSimulatedData html getBiomarker html getDEGTopTable html getMSigDBTable html getSceParams html getTSNE html getTopHVG html getUMAP html importAlevin html importAnnData html importBUStools html importCellRanger html importCellRangerV2Sample html importCellRangerV3Sample html importDropEst html importExampleData html importFromFiles html importGeneSetsFromCollection html importGeneSetsFromGMT html importGeneSetsFromList html importGeneSetsFromMSigDB html importMitoGeneSet html importMultipleSources html importOptimus html importSEQC html importSTARsolo html iterateSimulations html mergeSCEColData html mouseBrainSubsetSCE html msigdb_table html plotBarcodeRankDropsResults html plotBarcodeRankScatter html plotBatchCorrCompare html plotBatchVariance html plotBcdsResults html plotClusterAbundance html plotCxdsResults html plotDEGHeatmap html plotDEGRegression html plotDEGViolin html plotDecontXResults html plotDimRed html plotDoubletFinderResults html plotEmptyDropsResults html plotEmptyDropsScatter html plotMASTThresholdGenes html plotMarkerDiffExp html plotPCA html plotRunPerCellQCResults html plotSCEBarAssayData html plotSCEBarColData html plotSCEBatchFeatureMean html plotSCEDensity html plotSCEDensityAssayData html plotSCEDensityColData html plotSCEDimReduceColData html plotSCEDimReduceFeatures html plotSCEHeatmap html plotSCEScatter html plotSCEViolin html plotSCEViolinAssayData html plotSCEViolinColData html plotScDblFinderResults html plotScdsHybridResults html plotScrubletResults html plotTSNE html plotTopHVG html plotUMAP html qcInputProcess html readSingleCellMatrix html reportCellQC html reportDiffExp html reportDropletQC html reportFindMarker html reportQCTool html retrieveSCEIndex html runANOVA html runBBKNN html runBarcodeRankDrops html runBcds html runCellQC html runComBatSeq html runCxds html runCxdsBcdsHybrid html runDEAnalysis html runDESeq2 html runDecontX html runDimReduce html runDoubletFinder html runDropletQC html runEmptyDrops html runFastMNN html runFeatureSelection html runGSVA html runKMeans html runLimmaBC html runLimmaDE html runMAST html runMNNCorrect html runNormalization html runPerCellQC html runSCANORAMA html runSCMerge html runScDblFinder html runScranSNN html runScrublet html runSingleR html runVAM html runWilcox html runZINBWaVE html sampleSummaryStats html scaterCPM html scaterPCA html scaterlogNormCounts html sce html sceBatches html scranModelGeneVar html sctkListGeneSetCollections html sctkPythonInstallConda html sctkPythonInstallVirtualEnv html selectSCTKConda html selectSCTKVirtualEnvironment html setSCTKDisplayRow html seuratComputeHeatmap html seuratComputeJackStraw html seuratElbowPlot html seuratFindClusters html seuratFindHVG html seuratFindMarkers html seuratGenePlot html seuratHeatmapPlot html seuratICA html seuratIntegration html seuratJackStrawPlot html seuratNormalizeData html seuratPCA html seuratPlotHVG html seuratReductionPlot html seuratReport html seuratRunTSNE html seuratRunUMAP html seuratSCTransform html seuratScaleData html seuratVariableFeatures html simpleLog html singleCellTK html subDiffEx html subsetSCECols html subsetSCERows html summarizeSCE html trimCounts html ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path install for x64 * installing *source* package 'singleCellTK' ... ** testing if installed package can be loaded * MD5 sums packaged installation of 'singleCellTK' as singleCellTK_2.4.0.zip * DONE (singleCellTK) * installing to library 'C:/Users/biocbuild/bbs-3.14-bioc/R/library' package 'singleCellTK' successfully unpacked and MD5 sums checked
singleCellTK.Rcheck/tests_i386/spelling.Rout R version 4.1.3 (2022-03-10) -- "One Push-Up" Copyright (C) 2022 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. > if (requireNamespace('spelling', quietly = TRUE)) + spelling::spell_check_test(vignettes = TRUE, error = FALSE, skip_on_cran = TRUE) NULL > > proc.time() user system elapsed 0.28 0.06 0.32 |
singleCellTK.Rcheck/tests_x64/spelling.Rout R version 4.1.3 (2022-03-10) -- "One Push-Up" Copyright (C) 2022 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > if (requireNamespace('spelling', quietly = TRUE)) + spelling::spell_check_test(vignettes = TRUE, error = FALSE, skip_on_cran = TRUE) NULL > > proc.time() user system elapsed 0.21 0.07 0.29 |
singleCellTK.Rcheck/tests_i386/testthat.Rout R version 4.1.3 (2022-03-10) -- "One Push-Up" Copyright (C) 2022 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. > 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 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 Attaching package: 'S4Vectors' 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: 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 Attaching package: 'DelayedArray' The following objects are masked from 'package:base': aperm, apply, rowsum, 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% [----|----|----|----|----|----|----|----|----|----| **************************************************| Estimating GSVA scores for 34 gene sets. Estimating ECDFs with Gaussian kernels | | | 0% | |== | 3% | |==== | 6% | |====== | 9% | |======== | 12% | |========== | 15% | |============ | 18% | |============== | 21% | |================ | 24% | |=================== | 26% | |===================== | 29% | |======================= | 32% | |========================= | 35% | |=========================== | 38% | |============================= | 41% | |=============================== | 44% | |================================= | 47% | |=================================== | 50% | |===================================== | 53% | |======================================= | 56% | |========================================= | 59% | |=========================================== | 62% | |============================================= | 65% | |=============================================== | 68% | |================================================= | 71% | |=================================================== | 74% | |====================================================== | 76% | |======================================================== | 79% | |========================================================== | 82% | |============================================================ | 85% | |============================================================== | 88% | |================================================================ | 91% | |================================================================== | 94% | |==================================================================== | 97% | |======================================================================| 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% [03:11:05] WARNING: amalgamation/../src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior. [03:11:08] WARNING: amalgamation/../src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior. [03:11:41] WARNING: amalgamation/../src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior. Performing log-normalization 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% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 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% [----|----|----|----|----|----|----|----|----|----| **************************************************| 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 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 0% | |======================================================================| 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% [----|----|----|----|----|----|----|----|----|----| **************************************************| [ FAIL 0 | WARN 15 | SKIP 0 | PASS 126 ] [ FAIL 0 | WARN 15 | SKIP 0 | PASS 126 ] > > proc.time() user system elapsed 234.73 8.28 247.29 |
singleCellTK.Rcheck/tests_x64/testthat.Rout R version 4.1.3 (2022-03-10) -- "One Push-Up" Copyright (C) 2022 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > 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 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 Attaching package: 'S4Vectors' 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: 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 Attaching package: 'DelayedArray' The following objects are masked from 'package:base': aperm, apply, rowsum, 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% [----|----|----|----|----|----|----|----|----|----| **************************************************| Estimating GSVA scores for 34 gene sets. Estimating ECDFs with Gaussian kernels | | | 0% | |== | 3% | |==== | 6% | |====== | 9% | |======== | 12% | |========== | 15% | |============ | 18% | |============== | 21% | |================ | 24% | |=================== | 26% | |===================== | 29% | |======================= | 32% | |========================= | 35% | |=========================== | 38% | |============================= | 41% | |=============================== | 44% | |================================= | 47% | |=================================== | 50% | |===================================== | 53% | |======================================= | 56% | |========================================= | 59% | |=========================================== | 62% | |============================================= | 65% | |=============================================== | 68% | |================================================= | 71% | |=================================================== | 74% | |====================================================== | 76% | |======================================================== | 79% | |========================================================== | 82% | |============================================================ | 85% | |============================================================== | 88% | |================================================================ | 91% | |================================================================== | 94% | |==================================================================== | 97% | |======================================================================| 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% [03:15:18] WARNING: amalgamation/../src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior. [03:15:20] WARNING: amalgamation/../src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior. [03:15:47] WARNING: amalgamation/../src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior. Performing log-normalization 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% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 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% [----|----|----|----|----|----|----|----|----|----| **************************************************| 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 0% 10 20 30 40 50 60 70 80 90 100% [----|----|----|----|----|----|----|----|----|----| **************************************************| | | | 0% | |======================================================================| 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% [----|----|----|----|----|----|----|----|----|----| **************************************************| [ FAIL 0 | WARN 15 | SKIP 0 | PASS 126 ] [ FAIL 0 | WARN 15 | SKIP 0 | PASS 126 ] > > proc.time() user system elapsed 247.39 4.78 253.68 |
singleCellTK.Rcheck/examples_i386/singleCellTK-Ex.timings
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singleCellTK.Rcheck/examples_x64/singleCellTK-Ex.timings
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