Back to Multiple platform build/check report for BioC 3.10 |
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This page was generated on 2020-04-15 12:15:27 -0400 (Wed, 15 Apr 2020).
Package 543/1823 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||
evaluomeR 1.2.41 José Antonio Bernabé-Díaz
| malbec1 | Linux (Ubuntu 18.04.4 LTS) / x86_64 | OK | OK | [ OK ] | |||||||
tokay1 | Windows Server 2012 R2 Standard / x64 | OK | OK | OK | OK | |||||||
merida1 | OS X 10.11.6 El Capitan / x86_64 | OK | OK | OK | OK |
Package: evaluomeR |
Version: 1.2.41 |
Command: /home/biocbuild/bbs-3.10-bioc/R/bin/R CMD check --install=check:evaluomeR.install-out.txt --library=/home/biocbuild/bbs-3.10-bioc/R/library --no-vignettes --timings evaluomeR_1.2.41.tar.gz |
StartedAt: 2020-04-15 06:24:02 -0400 (Wed, 15 Apr 2020) |
EndedAt: 2020-04-15 06:28:26 -0400 (Wed, 15 Apr 2020) |
EllapsedTime: 264.3 seconds |
RetCode: 0 |
Status: OK |
CheckDir: evaluomeR.Rcheck |
Warnings: 0 |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.10-bioc/R/bin/R CMD check --install=check:evaluomeR.install-out.txt --library=/home/biocbuild/bbs-3.10-bioc/R/library --no-vignettes --timings evaluomeR_1.2.41.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/home/biocbuild/bbs-3.10-bioc/meat/evaluomeR.Rcheck’ * using R version 3.6.3 (2020-02-29) * using platform: x86_64-pc-linux-gnu (64-bit) * using session charset: UTF-8 * using option ‘--no-vignettes’ * checking for file ‘evaluomeR/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘evaluomeR’ version ‘1.2.41’ * 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 for sufficient/correct file permissions ... OK * checking whether package ‘evaluomeR’ can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking ‘build’ directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... NOTE File LICENSE is not mentioned in the DESCRIPTION file. * 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 * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of ‘data’ directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking files in ‘vignettes’ ... OK * checking examples ... OK * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘testAll.R’ Running ‘testAnalysis.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: 1 NOTE See ‘/home/biocbuild/bbs-3.10-bioc/meat/evaluomeR.Rcheck/00check.log’ for details.
evaluomeR.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.10-bioc/R/bin/R CMD INSTALL evaluomeR ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.10-bioc/R/library’ * installing *source* package ‘evaluomeR’ ... ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help Loading required namespace: evaluomeR *** 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 (evaluomeR)
evaluomeR.Rcheck/tests/testAll.Rout
R version 3.6.3 (2020-02-29) -- "Holding the Windsock" Copyright (C) 2020 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (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(evaluomeR) Loading required package: SummarizedExperiment Loading required package: GenomicRanges Loading required package: stats4 Loading required package: BiocGenerics Loading required package: parallel Attaching package: 'BiocGenerics' The following objects are masked from 'package:parallel': clusterApply, clusterApplyLB, clusterCall, clusterEvalQ, clusterExport, clusterMap, parApply, parCapply, parLapply, parLapplyLB, parRapply, parSapply, parSapplyLB The following objects are masked from 'package:stats': IQR, mad, sd, var, xtabs The following objects are masked from 'package:base': Filter, Find, Map, Position, Reduce, anyDuplicated, append, as.data.frame, basename, cbind, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table, tapply, union, unique, unsplit, which, which.max, which.min Loading required package: S4Vectors Attaching package: 'S4Vectors' The following object is masked from 'package:base': expand.grid 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")'. Loading required package: DelayedArray Loading required package: matrixStats Attaching package: 'matrixStats' The following objects are masked from 'package:Biobase': anyMissing, rowMedians Loading required package: BiocParallel Attaching package: 'DelayedArray' The following objects are masked from 'package:matrixStats': colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges The following objects are masked from 'package:base': aperm, apply, rowsum Loading required package: MultiAssayExperiment Loading required package: cluster Loading required package: fpc > > data("rnaMetrics") > > dataFrame <- stability(data=rnaMetrics, k=2, bs=100, getImages = FALSE) Processing metric: RIN(1) Calculation of k = 2 Processing metric: DegFact(2) Calculation of k = 2 > dataFrame <- stabilityRange(data=rnaMetrics, k.range=c(2,4), bs=20, getImages = FALSE) Processing metric: RIN(1) Calculation of k = 2 Calculation of k = 3 Calculation of k = 4 Processing metric: DegFact(2) Calculation of k = 2 Calculation of k = 3 Calculation of k = 4 > dataFrame <- stabilitySet(data=rnaMetrics, k.set=c(2,3,4), bs=20, getImages = FALSE) Processing metric: RIN(1) Calculation of k = 2 Calculation of k = 3 Calculation of k = 4 Processing metric: DegFact(2) Calculation of k = 2 Calculation of k = 3 Calculation of k = 4 > > dataFrame <- quality(data=rnaMetrics, k=3, getImages = FALSE) Processing metric: RIN(1) Calculation of k = 3 Processing metric: DegFact(2) Calculation of k = 3 > dataFrame <- qualityRange(data=rnaMetrics, k.range=c(2,4), getImages = FALSE) Processing metric: RIN(1) Calculation of k = 2 Calculation of k = 3 Calculation of k = 4 Processing metric: DegFact(2) Calculation of k = 2 Calculation of k = 3 Calculation of k = 4 > assay(getDataQualityRange(dataFrame, 2), 1) Metric Cluster_1_SilScore Cluster_2_SilScore Avg_Silhouette_Width 1 "RIN" "0.431069592245246" "0.803182811595014" "0.61712620192013" 2 "DegFact" "0.728789163508571" "0.415236312384011" "0.630803897532146" Cluster_1_Size Cluster_2_Size 1 "8" "8" 2 "11" "5" > dataFrame1 <- qualitySet(data=rnaMetrics, k.set=c(2,3,4), getImages = FALSE) Processing metric: RIN(1) Calculation of k = 2 Calculation of k = 3 Calculation of k = 4 Processing metric: DegFact(2) Calculation of k = 2 Calculation of k = 3 Calculation of k = 4 > > > dataFrame <- metricsCorrelations(data=rnaMetrics, getImages = FALSE, margins = c(4,4,11,10)) > assay(dataFrame, 1) RIN DegFact RIN 1.0000000 -0.9744685 DegFact -0.9744685 1.0000000 > > > proc.time() user system elapsed 11.384 0.384 11.795
evaluomeR.Rcheck/tests/testAnalysis.Rout
R version 3.6.3 (2020-02-29) -- "Holding the Windsock" Copyright (C) 2020 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (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(evaluomeR) Loading required package: SummarizedExperiment Loading required package: GenomicRanges Loading required package: stats4 Loading required package: BiocGenerics Loading required package: parallel Attaching package: 'BiocGenerics' The following objects are masked from 'package:parallel': clusterApply, clusterApplyLB, clusterCall, clusterEvalQ, clusterExport, clusterMap, parApply, parCapply, parLapply, parLapplyLB, parRapply, parSapply, parSapplyLB The following objects are masked from 'package:stats': IQR, mad, sd, var, xtabs The following objects are masked from 'package:base': Filter, Find, Map, Position, Reduce, anyDuplicated, append, as.data.frame, basename, cbind, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table, tapply, union, unique, unsplit, which, which.max, which.min Loading required package: S4Vectors Attaching package: 'S4Vectors' The following object is masked from 'package:base': expand.grid 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")'. Loading required package: DelayedArray Loading required package: matrixStats Attaching package: 'matrixStats' The following objects are masked from 'package:Biobase': anyMissing, rowMedians Loading required package: BiocParallel Attaching package: 'DelayedArray' The following objects are masked from 'package:matrixStats': colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges The following objects are masked from 'package:base': aperm, apply, rowsum Loading required package: MultiAssayExperiment Loading required package: cluster Loading required package: fpc > > data("rnaMetrics") > plotMetricsMinMax(rnaMetrics) There were 17 warnings (use warnings() to see them) > plotMetricsBoxplot(rnaMetrics) Warning messages: 1: Use of `data.melt$variable` is discouraged. Use `variable` instead. 2: Use of `data.melt$value` is discouraged. Use `value` instead. > plotMetricsCluster(rnaMetrics) > plotMetricsViolin(rnaMetrics) Warning messages: 1: Use of `data.melt$variable` is discouraged. Use `variable` instead. 2: Use of `data.melt$value` is discouraged. Use `value` instead. 3: Use of `data.melt$variable` is discouraged. Use `variable` instead. 4: Use of `data.melt$value` is discouraged. Use `value` instead. > > stabilityData <- stabilityRange(data=rnaMetrics, k.range=c(3,4), bs=20, getImages = FALSE, seed=100) Processing metric: RIN(1) Calculation of k = 3 Calculation of k = 4 Processing metric: DegFact(2) Calculation of k = 3 Calculation of k = 4 > qualityData <- qualityRange(data=rnaMetrics, k.range=c(3,4), getImages = FALSE, seed=100) Processing metric: RIN(1) Calculation of k = 3 Calculation of k = 4 Processing metric: DegFact(2) Calculation of k = 3 Calculation of k = 4 > > kOptTable <- getOptimalKValue(stabilityData, qualityData, k.range=c(3,4)) Processing metric: RIN Maximum stability and quality values matches the same K value: ' 3 ' Processing metric: DegFact Maximum stability and quality values matches the same K value: ' 3 ' > kOptTable Stability_max_k Stability_max_k_stab Stability_max_k_qual Quality_max_k RIN 3 0.8901389 0.6278294 3 DegFact 3 1.0000000 0.7371912 3 Quality_max_k_stab Quality_max_k_qual Global_optimal_k RIN 0.8901389 0.6278294 3 DegFact 1.0000000 0.7371912 3 > > > df = assay(rnaMetrics) > k.vector1=rep(5,length(colnames(df))-1) > k.vector2=rep(2,length(colnames(df))-1) > plotMetricsClusterComparison(df, k.vector1, k.vector2) > > proc.time() user system elapsed 11.768 0.396 12.202
evaluomeR.Rcheck/evaluomeR-Ex.timings
name | user | system | elapsed | |
getDataQualityRange | 0.800 | 0.012 | 0.838 | |
getOptimalKValue | 0.460 | 0.000 | 0.465 | |
metricsCorrelations | 0.048 | 0.004 | 0.049 | |
plotMetricsBoxplot | 0.644 | 0.000 | 0.655 | |
plotMetricsCluster | 0.296 | 0.000 | 0.297 | |
plotMetricsClusterComparison | 1.136 | 0.000 | 1.187 | |
plotMetricsMinMax | 0.456 | 0.000 | 0.472 | |
plotMetricsViolin | 1.164 | 0.016 | 1.211 | |
quality | 0.412 | 0.008 | 0.433 | |
qualityRange | 0.392 | 0.000 | 0.393 | |
qualitySet | 0.08 | 0.00 | 0.08 | |
stability | 3.404 | 0.056 | 3.481 | |
stabilityRange | 3.636 | 0.052 | 3.707 | |
stabilitySet | 0.512 | 0.008 | 0.521 | |