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BioC 3.4: CHECK report for MEAL on zin1

This page was generated on 2016-09-05 02:36:32 -0700 (Mon, 05 Sep 2016).

Package 703/1251HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
MEAL 1.3.6
Carlos Ruiz
Snapshot Date: 2016-09-03 19:15:48 -0700 (Sat, 03 Sep 2016)
URL: https://hedgehog.fhcrc.org/bioconductor/trunk/madman/Rpacks/MEAL
Last Changed Rev: 120545 / Revision: 120706
Last Changed Date: 2016-08-29 05:37:52 -0700 (Mon, 29 Aug 2016)
zin1 Linux (Ubuntu 16.04 LTS) / x86_64  NotNeeded  OK [ ERROR ]
moscato1 Windows Server 2008 R2 Standard (64-bit) / x64  NotNeeded  ERROR  skipped  skipped 
morelia Mac OS X Mavericks (10.9.5) / x86_64  NotNeeded  OK  ERROR  OK 

Summary

Package: MEAL
Version: 1.3.6
Command: /home/biocbuild/bbs-3.4-bioc/R/bin/R CMD check --no-vignettes --timings MEAL_1.3.6.tar.gz
StartedAt: 2016-09-04 08:28:07 -0700 (Sun, 04 Sep 2016)
EndedAt: 2016-09-04 08:36:00 -0700 (Sun, 04 Sep 2016)
EllapsedTime: 473.6 seconds
RetCode: 1
Status:  ERROR 
CheckDir: MEAL.Rcheck
Warnings: NA

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.4-bioc/R/bin/R CMD check --no-vignettes --timings MEAL_1.3.6.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.4-bioc/meat/MEAL.Rcheck’
* using R version 3.3.1 (2016-06-21)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘MEAL/DESCRIPTION’ ... OK
* this is package ‘MEAL’ version ‘1.3.6’
* 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 ‘MEAL’ 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
DARegion : <anonymous>: no visible binding for global variable
  'proberes'
correlationMethExprs: no visible global function definition for
  'rowRanges'
Undefined global functions or variables:
  proberes rowRanges
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... WARNING
Codoc mismatches from documentation object 'DARegion':
DARegion
  Code: function(set, model, methods = c("blockFinder", "bumphunter",
                 "DMRcate"), coefficient = 2, num_permutations = 0,
                 bumphunter_cutoff = 0.05, bumps_max = 30000, num_cores
                 = 1, verbose = FALSE, ...)
  Docs: function(set, model, proberes, methods = c("blockFinder",
                 "bumphunter", "DMRcate"), coefficient = 2,
                 num_permutations = 0, bumphunter_cutoff = 0.05,
                 bumps_max = 30000, num_cores = 1, verbose = FALSE,
                 ...)
  Argument names in docs not in code:
    proberes
  Mismatches in argument names (first 3):
    Position: 3 Code: methods Docs: proberes
    Position: 4 Code: coefficient Docs: methods
    Position: 5 Code: num_permutations Docs: coefficient

* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... 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
plotRegion-methods 40.600  0.024  40.628
plotRDA-methods    40.164  0.092  40.265
topRDAhits-methods 40.020  0.028  40.064
DAPipeline         15.480  0.904  16.957
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 ERROR
Running the tests in ‘tests/testthat.R’ failed.
Last 13 lines of output:
  2: In add_eset(object, methySet, dataset.type = "methylation", GRanges = range,  :
    No id column found in pData. The id will be equal to the sampleNames
  3: In add_eset(object, snpSet, dataset.type = "snps", GRanges = range,  :
    No id column found in pData. The id will be equal to the sampleNames
  4: In add_eset(object, methySet, dataset.type = "methylation", GRanges = range,  :
    No id column found in pData. The id will be equal to the sampleNames
  5: In add_eset(object, snpSet, dataset.type = "snps", GRanges = range,  :
    No id column found in pData. The id will be equal to the sampleNames
  6: In add_eset(object, gexpSet, dataset.type = "expression", GRanges = range,  :
    No id column found in pData. The id will be equal to the sampleNames
  7: In add_eset(object, methySet, dataset.type = "methylation", GRanges = range,  :
    No id column found in pData. The id will be equal to the sampleNames
  Execution halted
* 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 ERROR, 1 WARNING, 1 NOTE
See
  ‘/home/biocbuild/bbs-3.4-bioc/meat/MEAL.Rcheck/00check.log’
for details.

testthat.Rout.fail:


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 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(testthat)
> library(MEAL)
Loading required package: Biobase
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, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, 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

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: MultiDataSet
Setting options('download.file.method.GEOquery'='auto')
Setting options('GEOquery.inmemory.gpl'=FALSE)
> 
> test_check("MEAL")
Loading required package: minfi
Loading required package: lattice
Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: S4Vectors

Attaching package: 'S4Vectors'

The following object is masked from 'package:testthat':

    compare

The following objects are masked from 'package:base':

    colMeans, colSums, expand.grid, rowMeans, rowSums

Loading required package: IRanges
Loading required package: GenomeInfoDb
Loading required package: SummarizedExperiment
Loading required package: Biostrings
Loading required package: XVector
Loading required package: bumphunter
Loading required package: foreach
Loading required package: iterators
Loading required package: locfit
locfit 1.5-9.1 	 2013-03-22
Loading required package: IlluminaHumanMethylation450kmanifest
Loading required package: IlluminaHumanMethylation450kanno.ilmn12.hg19
Your contrast returned 82 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrX...
Fitting chrY...
Demarcating regions...
Done!

1. Failure: Check Errors (@test_06regionAnalysis.R#70) -------------------------
error$message does not match "set must be a MethylationSet.".
Actual value: "The number of samples is different in the set and in the model."


2. Failure: Check Errors (@test_06regionAnalysis.R#71) -------------------------
error$message does not match "The set is empty.".
Actual value: "object 'emptyset' not found"


coercing object of mode  numeric  to SnpMatrix
Your contrast returned 10 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrY...
Demarcating regions...
Done!
Your contrast returned no individually significant probes. Set pcutoff manually in dmrcate() to return DMRs, but be warned there is an increased risk of Type I errors.
Fitting chrY...
Your contrast returned 10 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrY...
Demarcating regions...
Done!
Your contrast returned 10 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrY...
Demarcating regions...
Done!
Your contrast returned no individually significant probes. Set pcutoff manually in dmrcate() to return DMRs, but be warned there is an increased risk of Type I errors.
Fitting chrY...
Your contrast returned 10 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrY...
Demarcating regions...
Done!
Your contrast returned 5 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrY...
Demarcating regions...
Done!
'nperm' >= set of all permutations: complete enumeration.
Set of permutations < 'minperm'. Generating entire set.
coercing object of mode  numeric  to SnpMatrix
Your contrast returned 5 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrY...
Demarcating regions...
Done!
'nperm' >= set of all permutations: complete enumeration.
Set of permutations < 'minperm'. Generating entire set.
Your contrast returned 5 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrY...
Demarcating regions...
Done!
Your contrast returned 5 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrY...
Demarcating regions...
Done!
coercing object of mode  numeric  to SnpMatrix
Your contrast returned 10 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrY...
Demarcating regions...
Done!
Your contrast returned no individually significant probes. Set pcutoff manually in dmrcate() to return DMRs, but be warned there is an increased risk of Type I errors.
Fitting chrY...
Your contrast returned 10 individually significant probes; a small but real effect. Consider manually setting the value of pcutoff to return more DMRs, but be warned that doing this increases the risk of Type I errors.
Fitting chrY...
Demarcating regions...
Done!
testthat results ================================================================
OK: 239 SKIPPED: 0 FAILED: 2
1. Failure: Check Errors (@test_06regionAnalysis.R#70) 
2. Failure: Check Errors (@test_06regionAnalysis.R#71) 

Error: testthat unit tests failed
In addition: Warning messages:
1: In matrix(runif(6, max = 15), 4) :
  data length [6] is not a sub-multiple or multiple of the number of rows [4]
2: In add_eset(object, methySet, dataset.type = "methylation", GRanges = range,  :
  No id column found in pData. The id will be equal to the sampleNames
3: In add_eset(object, snpSet, dataset.type = "snps", GRanges = range,  :
  No id column found in pData. The id will be equal to the sampleNames
4: In add_eset(object, methySet, dataset.type = "methylation", GRanges = range,  :
  No id column found in pData. The id will be equal to the sampleNames
5: In add_eset(object, snpSet, dataset.type = "snps", GRanges = range,  :
  No id column found in pData. The id will be equal to the sampleNames
6: In add_eset(object, gexpSet, dataset.type = "expression", GRanges = range,  :
  No id column found in pData. The id will be equal to the sampleNames
7: In add_eset(object, methySet, dataset.type = "methylation", GRanges = range,  :
  No id column found in pData. The id will be equal to the sampleNames
Execution halted

MEAL.Rcheck/00install.out:

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

MEAL.Rcheck/MEAL-Ex.timings:

nameusersystemelapsed
AnalysisRegionResults-class0.0040.0000.002
AnalysisResults-class0.0000.0000.001
DAPipeline15.480 0.90416.957
DAProbe0.4640.0000.463
DARegion2.0440.0362.079
DARegionAnalysis2.5240.0002.525
RDAset2.0040.0202.024
calculateRelevantSNPs0.0000.0000.001
createRanges0.0160.0000.016
explainedVariance0.0200.0000.023
exportResults-methods1.8960.0001.908
filterSet-methods1.6280.0001.630
getGeneVals-methods1.9040.0041.908
multiCorrMethExprs0.0040.0000.001
normalSNP0.0000.0000.001
plotBestFeatures2.1000.0042.105
plotEWAS-methods2.3480.0042.354
plotFeature1.9720.0001.971
plotLM0.1720.0000.171
plotQQ-methods2.2120.0042.213
plotRDA-methods40.164 0.09240.265
plotRegion-methods40.600 0.02440.628
plotVolcano-methods2.5120.0082.522
preparePhenotype0.0040.0000.004
topRDAhits-methods40.020 0.02840.064