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BioC 3.4: CHECK report for MLSeq on malbec1

This page was generated on 2017-04-15 16:11:57 -0400 (Sat, 15 Apr 2017).

Package 787/1296HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
MLSeq 1.14.1
Gokmen Zararsiz
Snapshot Date: 2017-04-14 17:17:13 -0400 (Fri, 14 Apr 2017)
URL: https://hedgehog.fhcrc.org/bioconductor/branches/RELEASE_3_4/madman/Rpacks/MLSeq
Last Changed Rev: 124615 / Revision: 128728
Last Changed Date: 2016-11-30 03:28:57 -0500 (Wed, 30 Nov 2016)
malbec1 Linux (Ubuntu 16.04.1 LTS) / x86_64  NotNeeded  OK [ OK ]UNNEEDED, same version exists in internal repository
tokay1 Windows Server 2012 R2 Standard / x64  NotNeeded  OK  OK  OK UNNEEDED, same version exists in internal repository
morelia Mac OS X Mavericks (10.9.5) / x86_64  NotNeeded  OK  OK  OK UNNEEDED, same version exists in internal repository

Summary

Package: MLSeq
Version: 1.14.1
Command: /home/biocbuild/bbs-3.4-bioc/R/bin/R CMD check --no-vignettes --timings MLSeq_1.14.1.tar.gz
StartedAt: 2017-04-14 23:55:27 -0400 (Fri, 14 Apr 2017)
EndedAt: 2017-04-14 23:59:02 -0400 (Fri, 14 Apr 2017)
EllapsedTime: 215.6 seconds
RetCode: 0
Status:  OK 
CheckDir: MLSeq.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.4-bioc/R/bin/R CMD check --no-vignettes --timings MLSeq_1.14.1.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.4-bioc/meat/MLSeq.Rcheck’
* using R version 3.3.3 (2017-03-06)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘MLSeq/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘MLSeq’ version ‘1.14.1’
* checking package namespace information ... OK
* checking package dependencies ... NOTE
Depends: includes the non-default packages:
  ‘caret’ ‘DESeq2’ ‘Biobase’ ‘limma’ ‘randomForest’ ‘edgeR’
Adding so many packages to the search path is excessive and importing
selectively is preferable.
* 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 ‘MLSeq’ 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 loading without being on the library search path ... 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 ... NOTE
classify: no visible global function definition for ‘relevel’
classify: no visible global function definition for ‘model.matrix’
classify: no visible global function definition for
  ‘AnnotatedDataFrame’
classify: no visible global function definition for ‘bagControl’
classify: no visible binding for global variable ‘svmBag’
classify: no visible global function definition for ‘predict’
predictClassify: no visible global function definition for
  ‘model.matrix’
predictClassify: no visible global function definition for
  ‘AnnotatedDataFrame’
predictClassify: no visible global function definition for ‘predict’
Undefined global functions or variables:
  AnnotatedDataFrame bagControl model.matrix predict relevel svmBag
Consider adding
  importFrom("stats", "model.matrix", "predict", "relevel")
to your NAMESPACE file.
* 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 installed files from ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU or elapsed time > 5s
                 user system elapsed
classify        9.972  0.040  10.018
predictClassify 9.600  0.004   9.614
method          6.616  0.000   6.619
ref             6.500  0.000   6.505
confusionMat    6.444  0.012   6.460
trained         6.384  0.000   6.389
deseqTransform  6.272  0.012   6.288
normalization   6.276  0.000   6.280
* 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 NOTEs
See
  ‘/home/biocbuild/bbs-3.4-bioc/meat/MLSeq.Rcheck/00check.log’
for details.


MLSeq.Rcheck/00install.out:

* installing *source* package ‘MLSeq’ ...
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (MLSeq)

MLSeq.Rcheck/MLSeq-Ex.timings:

nameusersystemelapsed
MLSeq-class000
cervical0.0000.0040.004
classify 9.972 0.04010.018
confusionMat6.4440.0126.460
deseqTransform6.2720.0126.288
method6.6160.0006.619
normalization6.2760.0006.280
predictClassify9.6000.0049.614
ref6.5000.0006.505
trained6.3840.0006.389