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CHECK report for QDNAseq on malbec2

This page was generated on 2018-10-17 08:25:58 -0400 (Wed, 17 Oct 2018).

Package 1156/1561HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
QDNAseq 1.16.0
Daoud Sie
Snapshot Date: 2018-10-15 16:45:08 -0400 (Mon, 15 Oct 2018)
URL: https://git.bioconductor.org/packages/QDNAseq
Branch: RELEASE_3_7
Last Commit: 8a06e9d
Last Changed Date: 2018-04-30 10:35:32 -0400 (Mon, 30 Apr 2018)
malbec2 Linux (Ubuntu 16.04.1 LTS) / x86_64  OK  OK [ WARNINGS ]UNNEEDED, same version exists in internal repository
tokay2 Windows Server 2012 R2 Standard / x64  OK  OK  WARNINGS  OK UNNEEDED, same version exists in internal repository
merida2 OS X 10.11.6 El Capitan / x86_64  OK  OK  WARNINGS  OK UNNEEDED, same version exists in internal repository

Summary

Package: QDNAseq
Version: 1.16.0
Command: /home/biocbuild/bbs-3.7-bioc/R/bin/R CMD check --install=check:QDNAseq.install-out.txt --library=/home/biocbuild/bbs-3.7-bioc/R/library --no-vignettes --timings QDNAseq_1.16.0.tar.gz
StartedAt: 2018-10-16 02:57:34 -0400 (Tue, 16 Oct 2018)
EndedAt: 2018-10-16 03:00:01 -0400 (Tue, 16 Oct 2018)
EllapsedTime: 146.9 seconds
RetCode: 0
Status:  WARNINGS 
CheckDir: QDNAseq.Rcheck
Warnings: 1

Command output

##############################################################################
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###
### Running command:
###
###   /home/biocbuild/bbs-3.7-bioc/R/bin/R CMD check --install=check:QDNAseq.install-out.txt --library=/home/biocbuild/bbs-3.7-bioc/R/library --no-vignettes --timings QDNAseq_1.16.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.7-bioc/meat/QDNAseq.Rcheck’
* using R version 3.5.1 Patched (2018-07-12 r74967)
* 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 ‘1.16.0’
* 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
frequencyPlot 13.252  0.008  13.272
callBins      13.176  0.044  13.226
* 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-3.7-bioc/meat/QDNAseq.Rcheck/00check.log’
for details.



Installation output

QDNAseq.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.7-bioc/R/bin/R CMD INSTALL QDNAseq
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.7-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)

Tests output

QDNAseq.Rcheck/tests/QDNAseq,reproducibility.Rout


R version 3.5.1 Patched (2018-07-12 r74967) -- "Feather Spray"
Copyright (C) 2018 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 
  5.144   0.140   5.281 

QDNAseq.Rcheck/tests/QDNAseq.Rout


R version 3.5.1 Patched (2018-07-12 r74967) -- "Feather Spray"
Copyright (C) 2018 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 
  9.100   0.148   9.252 

Example timings

QDNAseq.Rcheck/QDNAseq-Ex.timings

nameusersystemelapsed
addPhenodata0.1280.0000.130
applyFilters0.1800.0120.191
binReadCounts000
callBins13.176 0.04413.226
compareToReference0.6720.0040.676
correctBins0.6080.0040.610
createBins0.0000.0000.001
estimateCorrection0.5640.0040.568
exportBins000
frequencyPlot13.252 0.00813.272
getBinAnnotations0.0000.0000.001
highlightFilters0.3600.0040.365
isobarPlot0.4400.0040.442
makeCgh0.7160.0040.721
noisePlot0.6040.0000.605
normalizeBins0.6280.0000.630
normalizeSegmentedBins4.3440.0004.350
plot0.9000.0080.909
poolRuns0.1320.0000.134
segmentBins4.1200.0044.125
smoothOutlierBins0.9400.0000.939