Back to Multiple platform build/check report for BioC 3.8 |
|
This page was generated on 2019-04-16 11:50:26 -0400 (Tue, 16 Apr 2019).
Package 1222/1649 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||
QDNAseq 1.18.0 Daoud Sie
| malbec1 | Linux (Ubuntu 16.04.6 LTS) / x86_64 | OK | OK | [ WARNINGS ] | |||||||
merida1 | OS X 10.11.6 El Capitan / x86_64 | OK | OK | WARNINGS | OK |
Package: QDNAseq |
Version: 1.18.0 |
Command: /home/biocbuild/bbs-3.8-bioc/R/bin/R CMD check --install=check:QDNAseq.install-out.txt --library=/home/biocbuild/bbs-3.8-bioc/R/library --no-vignettes --timings QDNAseq_1.18.0.tar.gz |
StartedAt: 2019-04-16 02:17:49 -0400 (Tue, 16 Apr 2019) |
EndedAt: 2019-04-16 02:20:56 -0400 (Tue, 16 Apr 2019) |
EllapsedTime: 187.0 seconds |
RetCode: 0 |
Status: WARNINGS |
CheckDir: QDNAseq.Rcheck |
Warnings: 1 |
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.8-bioc/R/bin/R CMD check --install=check:QDNAseq.install-out.txt --library=/home/biocbuild/bbs-3.8-bioc/R/library --no-vignettes --timings QDNAseq_1.18.0.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/home/biocbuild/bbs-3.8-bioc/meat/QDNAseq.Rcheck’ * using R version 3.5.3 (2019-03-11) * using platform: x86_64-pc-linux-gnu (64-bit) * using session charset: UTF-8 * using option ‘--no-vignettes’ * checking for file ‘QDNAseq/DESCRIPTION’ ... OK * this is package ‘QDNAseq’ version ‘1.18.0’ * 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 ‘QDNAseq’ 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 ... 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 * 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 ... WARNING Undocumented code objects: ‘exportVCF’ All user-level objects in a package should have documentation entries. See chapter ‘Writing R documentation files’ in the ‘Writing R Extensions’ manual. * 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 Examples with CPU or elapsed time > 5s user system elapsed callBins 16.108 0.024 16.149 frequencyPlot 15.488 0.008 15.512 segmentBins 5.932 0.000 5.939 normalizeSegmentedBins 5.260 0.004 5.269 * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘QDNAseq,reproducibility.R’ Running ‘QDNAseq.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 WARNING See ‘/home/biocbuild/bbs-3.8-bioc/meat/QDNAseq.Rcheck/00check.log’ for details.
QDNAseq.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.8-bioc/R/bin/R CMD INSTALL QDNAseq ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.8-bioc/R/library’ * installing *source* package ‘QDNAseq’ ... ** R ** data ** 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 * DONE (QDNAseq)
QDNAseq.Rcheck/tests/QDNAseq,reproducibility.Rout
R version 3.5.3 (2019-03-11) -- "Great Truth" Copyright (C) 2019 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. > ###################################################################### > # This scripts asserts that for each processing step of QDNAseq > # the output/results are reproducible (numerically equal). > ###################################################################### > library("QDNAseq") > > # Load data > data(LGG150) > data <- LGG150 > > # Filter out "bad" bins > dataF <- applyFilters(data, residual=TRUE, blacklist=TRUE) 38,819 total bins 38,819 of which in selected chromosomes 36,722 of which with reference sequence 33,347 final bins > dataFr <- applyFilters(data, residual=TRUE, blacklist=TRUE) 38,819 total bins 38,819 of which in selected chromosomes 36,722 of which with reference sequence 33,347 final bins > stopifnot(all.equal(dataFr, dataF)) > > # Correct read counts as a function of GC content and mappability > dataC <- correctBins(dataF) Calculating correction for GC content and mappability Calculating fit for sample LGG150 (1 of 1) ... Done. > dataCr <- correctBins(dataF) Calculating correction for GC content and mappability Calculating fit for sample LGG150 (1 of 1) ... Done. > stopifnot(all.equal(dataCr, dataC)) > > # Normalize binned read counts to have diploid normal copy number > dataN <- normalizeBins(dataC) Applying median normalization ... > dataNr <- normalizeBins(dataC) Applying median normalization ... > stopifnot(all.equal(dataNr, dataN)) > > proc.time() user system elapsed 7.124 0.180 7.300
QDNAseq.Rcheck/tests/QDNAseq.Rout
R version 3.5.3 (2019-03-11) -- "Great Truth" Copyright (C) 2019 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("QDNAseq") > > # Load data > data(LGG150) > data <- LGG150 > print(data) QDNAseqReadCounts (storageMode: lockedEnvironment) assayData: 38819 features, 1 samples element names: counts protocolData: none phenoData sampleNames: LGG150 varLabels: name reads used.reads expected.variance varMetadata: labelDescription featureData featureNames: 7:1-15000 7:15001-30000 ... 10:135525001-135534747 (38819 total) fvarLabels: chromosome start ... use (9 total) fvarMetadata: labelDescription experimentData: use 'experimentData(object)' Annotation: > stopifnot(inherits(data, "QDNAseqReadCounts")) > > # Plot isobars of read counts > isobarPlot(data) Plotting sample LGG150 median read counts > > # Plot copy number profile > plot(data, ylim=c(-100, 200)) Plotting sample LGG150 (1 of 1) ... > highlightFilters(data, residual=TRUE, blacklist=TRUE) Highlighted 3,375 bins. > > # Filter out "bad" bins > dataF <- applyFilters(data, residual=TRUE, blacklist=TRUE) 38,819 total bins 38,819 of which in selected chromosomes 36,722 of which with reference sequence 33,347 final bins > print(dataF) QDNAseqReadCounts (storageMode: lockedEnvironment) assayData: 38819 features, 1 samples element names: counts protocolData: none phenoData sampleNames: LGG150 varLabels: name reads used.reads expected.variance varMetadata: labelDescription featureData featureNames: 7:1-15000 7:15001-30000 ... 10:135525001-135534747 (38819 total) fvarLabels: chromosome start ... use (9 total) fvarMetadata: labelDescription experimentData: use 'experimentData(object)' Annotation: > plot(dataF, ylim=c(-100, 200)) Plotting sample LGG150 (1 of 1) ... > stopifnot(inherits(dataF, "QDNAseqReadCounts")) > > # Correct read counts as a function of GC content and mappability > dataC <- correctBins(dataF) Calculating correction for GC content and mappability Calculating fit for sample LGG150 (1 of 1) ... Done. > print(dataC) QDNAseqCopyNumbers (storageMode: lockedEnvironment) assayData: 38819 features, 1 samples element names: copynumber protocolData: none phenoData sampleNames: LGG150 varLabels: name reads ... loess.family (6 total) varMetadata: labelDescription featureData featureNames: 7:1-15000 7:15001-30000 ... 10:135525001-135534747 (38819 total) fvarLabels: chromosome start ... use (9 total) fvarMetadata: labelDescription experimentData: use 'experimentData(object)' Annotation: > plot(dataC, ylim=c(-100, 200)) Plotting sample LGG150 (1 of 1) ... > stopifnot(inherits(dataC, "QDNAseqCopyNumbers")) > > # Normalize binned read counts to have diploid normal copy number > dataN <- normalizeBins(dataC) Applying median normalization ... > print(dataN) QDNAseqCopyNumbers (storageMode: lockedEnvironment) assayData: 38819 features, 1 samples element names: copynumber protocolData: none phenoData sampleNames: LGG150 varLabels: name reads ... loess.family (6 total) varMetadata: labelDescription featureData featureNames: 7:1-15000 7:15001-30000 ... 10:135525001-135534747 (38819 total) fvarLabels: chromosome start ... use (9 total) fvarMetadata: labelDescription experimentData: use 'experimentData(object)' Annotation: > plot(dataN) Plotting sample LGG150 (1 of 1) ... > stopifnot(inherits(dataN, "QDNAseqCopyNumbers")) > > # Plot noise > noisePlot(dataF) Calculating correction for GC content and mappability Calculating fit for sample LGG150 (1 of 1) ... Done. > > # Segment copy numbers > fit <- segmentBins(dataN) Performing segmentation: Segmenting: LGG150 (1 of 1) ... > print(fit) QDNAseqCopyNumbers (storageMode: lockedEnvironment) assayData: 38819 features, 1 samples element names: copynumber, segmented protocolData: none phenoData sampleNames: LGG150 varLabels: name reads ... loess.family (6 total) varMetadata: labelDescription featureData featureNames: 7:1-15000 7:15001-30000 ... 10:135525001-135534747 (38819 total) fvarLabels: chromosome start ... use (9 total) fvarMetadata: labelDescription experimentData: use 'experimentData(object)' Annotation: > plot(fit) Plotting sample LGG150 (1 of 1) ... > stopifnot(inherits(fit, "QDNAseqCopyNumbers")) > > # Call copy-number segments > #fitC <- callBins(fit) > #print(fitC) > #plot(fitC) > > proc.time() user system elapsed 11.372 0.184 11.567
QDNAseq.Rcheck/QDNAseq-Ex.timings
name | user | system | elapsed | |
addPhenodata | 0.216 | 0.008 | 0.222 | |
applyFilters | 0.332 | 0.000 | 0.330 | |
binReadCounts | 0 | 0 | 0 | |
callBins | 16.108 | 0.024 | 16.149 | |
compareToReference | 0.696 | 0.000 | 0.696 | |
correctBins | 0.720 | 0.000 | 0.721 | |
createBins | 0 | 0 | 0 | |
estimateCorrection | 0.592 | 0.000 | 0.593 | |
exportBins | 0 | 0 | 0 | |
frequencyPlot | 15.488 | 0.008 | 15.512 | |
getBinAnnotations | 0 | 0 | 0 | |
highlightFilters | 0.576 | 0.008 | 0.586 | |
isobarPlot | 0.792 | 0.000 | 0.793 | |
makeCgh | 1.200 | 0.008 | 1.211 | |
noisePlot | 0.960 | 0.004 | 0.969 | |
normalizeBins | 0.980 | 0.012 | 0.994 | |
normalizeSegmentedBins | 5.260 | 0.004 | 5.269 | |
plot | 0.904 | 0.000 | 0.904 | |
poolRuns | 0.132 | 0.004 | 0.137 | |
segmentBins | 5.932 | 0.000 | 5.939 | |
smoothOutlierBins | 0.840 | 0.000 | 0.842 | |