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CHECK report for affypdnn on malbec2

This page was generated on 2018-10-17 08:21:07 -0400 (Wed, 17 Oct 2018).

Package 27/1561HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
affypdnn 1.54.0
Laurent Gautier
Snapshot Date: 2018-10-15 16:45:08 -0400 (Mon, 15 Oct 2018)
URL: https://git.bioconductor.org/packages/affypdnn
Branch: RELEASE_3_7
Last Commit: ea971b1
Last Changed Date: 2018-04-30 10:34:58 -0400 (Mon, 30 Apr 2018)
malbec2 Linux (Ubuntu 16.04.1 LTS) / x86_64  OK  OK [ OK ]UNNEEDED, same version exists in internal repository
tokay2 Windows Server 2012 R2 Standard / x64  OK  OK  OK  OK UNNEEDED, same version exists in internal repository
merida2 OS X 10.11.6 El Capitan / x86_64  OK  OK  OK  OK UNNEEDED, same version exists in internal repository

Summary

Package: affypdnn
Version: 1.54.0
Command: /home/biocbuild/bbs-3.7-bioc/R/bin/R CMD check --install=check:affypdnn.install-out.txt --library=/home/biocbuild/bbs-3.7-bioc/R/library --no-vignettes --timings affypdnn_1.54.0.tar.gz
StartedAt: 2018-10-15 22:21:26 -0400 (Mon, 15 Oct 2018)
EndedAt: 2018-10-15 22:23:03 -0400 (Mon, 15 Oct 2018)
EllapsedTime: 97.1 seconds
RetCode: 0
Status:  OK 
CheckDir: affypdnn.Rcheck
Warnings: 0

Command output

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### Running command:
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###   /home/biocbuild/bbs-3.7-bioc/R/bin/R CMD check --install=check:affypdnn.install-out.txt --library=/home/biocbuild/bbs-3.7-bioc/R/library --no-vignettes --timings affypdnn_1.54.0.tar.gz
###
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* using log directory ‘/home/biocbuild/bbs-3.7-bioc/meat/affypdnn.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 ‘affypdnn/DESCRIPTION’ ... OK
* this is package ‘affypdnn’ version ‘1.54.0’
* 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 ‘affypdnn’ can be installed ... OK
* checking installed package size ... NOTE
  installed size is 11.9Mb
  sub-directories of 1Mb or more:
    data  11.7Mb
* 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
* 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
'library' or 'require' call to ‘affy’ which was already attached by Depends.
  Please remove these calls from your code.
Package in Depends field not imported from: ‘affy’
  These packages need to be imported from (in the NAMESPACE file)
  for when this namespace is loaded but not attached.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
File ‘affypdnn/R/zzz.R’:
  .onLoad calls:
    require(affy)
    cat("registering new summary method 'pdnn'.\n")
    cat("registering new pmcorrect method 'pdnn' and 'pdnnpredict'.\n")

Package startup functions should not change the search path.
Package startup functions should use ‘packageStartupMessage’ to
  generate messages.
See section ‘Good practice’ in '?.onAttach'.

registering new summary method 'pdnn'.
registering new pmcorrect method 'pdnn' and 'pdnnpredict'.
pmcorrect.pdnn: warning in matrix(as.logical(NA), nr = nrow(probes), nc
  = ncol(probes)): partial argument match of 'nr' to 'nrow'
pmcorrect.pdnn: warning in matrix(as.logical(NA), nr = nrow(probes), nc
  = ncol(probes)): partial argument match of 'nc' to 'ncol'
* 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
Examples with CPU or elapsed time > 5s
                              user system elapsed
expressopdnn                26.124  0.304  26.454
generateExprVal.method.pdnn 14.500  0.032  14.541
find.params.pdnn             5.512  0.032   5.548
* 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: 3 NOTEs
See
  ‘/home/biocbuild/bbs-3.7-bioc/meat/affypdnn.Rcheck/00check.log’
for details.



Installation output

affypdnn.Rcheck/00install.out

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### Running command:
###
###   /home/biocbuild/bbs-3.7-bioc/R/bin/R CMD INSTALL affypdnn
###
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* installing to library ‘/home/biocbuild/bbs-3.7-bioc/R/library’
* installing *source* package ‘affypdnn’ ...
** 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
registering new summary method 'pdnn'.
registering new pmcorrect method 'pdnn' and 'pdnnpredict'.
* DONE (affypdnn)

Tests output


Example timings

affypdnn.Rcheck/affypdnn-Ex.timings

nameusersystemelapsed
chiptype.pdnn.params0.0000.0000.002
expressopdnn26.124 0.30426.454
find.params.pdnn5.5120.0325.548
generateExprVal.method.pdnn14.500 0.03214.541
matplotProbesPDNN0.0040.0000.000
params.dilution0.6240.0040.627
pdnn.params.chiptype0.0000.0000.001
transform.ProbeSet0.3040.0040.305