Package: TCC

Version: 1.18.0

Command: /home/biocbuild/bbs-3.6-bioc/R/bin/R CMD check --no-vignettes --timings TCC_1.18.0.tar.gz

StartedAt: 2018-04-12 03:16:33 -0400 (Thu, 12 Apr 2018)

EndedAt: 2018-04-12 03:24:33 -0400 (Thu, 12 Apr 2018)

EllapsedTime: 480.1 seconds

RetCode: 0

Status:  OK

CheckDir: TCC.Rcheck

Warnings: 0

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###
### Running command:
###
###   /home/biocbuild/bbs-3.6-bioc/R/bin/R CMD check --no-vignettes --timings TCC_1.18.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.6-bioc/meat/TCC.Rcheck’
* using R version 3.4.4 (2018-03-15)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘TCC/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘TCC’ 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 ‘TCC’ 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 ... 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
TCC-class          10.700  0.048  10.756
simulateReadCounts  8.480  0.008   8.491
calcNormFactors     7.036  0.004   7.045
calcAUCValue        6.984  0.000   6.987
plot.TCC            5.632  0.016   5.650
plotFCPseudocolor   5.432  0.008   5.443
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘runTests.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: OK

* installing *source* package ‘TCC’ ...
** R
** data
** inst
** preparing package for lazy loading
Creating a new generic function for ‘calcNormFactors’ in package ‘TCC’
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (TCC)

R version 3.4.4 (2018-03-15) -- "Someone to Lean On"
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.

> BiocGenerics:::testPackage("TCC")

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, sd, var, xtabs

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

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colMeans, colSums, 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, rowMeans, rowSums, 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")'.

locfit 1.5-9.1 	 2013-03-22
    Welcome to 'DESeq'. For improved performance, usability and
    functionality, please consider migrating to 'DESeq2'.

Attaching package: 'S4Vectors'

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

    expand.grid


Attaching package: 'matrixStats'

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

    anyMissing, rowMedians


Attaching package: 'DelayedArray'

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

    colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges

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

    apply


Attaching package: 'DESeq2'

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

    estimateSizeFactorsForMatrix, getVarianceStabilizedData,
    varianceStabilizingTransformation


Attaching package: 'limma'

The following object is masked from 'package:DESeq2':

    plotMA

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

    plotMA

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

    plotMA


Attaching package: 'TCC'

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

    calcNormFactors

TCC::INFO: Identifying DE genes using wad ...
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using wad ...
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using tmm ...
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 3 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 2 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 3 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 3 )
TCC::INFO: Done.
TCC::INFO: Generating simulation data under NB distribution ...
TCC::INFO: (genesizes   :  1000 )
TCC::INFO: (replicates  :  3, 3 )
TCC::INFO: (PDEG        :  0.16, 0.04 )
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ bayseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ bayseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ bayseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using bayseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.7357281
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8601875
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq2 - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq2 - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq2 - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq2 ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8598469
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ edger - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ edger - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using edger ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8734937
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ samseq - tmm ] X 1 )
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ samseq - deseq ] X 1 )
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ samseq - deseq2 ] X 1 )
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using samseq ...
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8271812
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ voom - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ voom - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ voom - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using voom ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8310656
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Generating simulation data under NB distribution ...
TCC::INFO: (genesizes   :  1000 )
TCC::INFO: (replicates  :  1, 1 )
TCC::INFO: (PDEG        :  0.16, 0.04 )
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ bayseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ bayseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ bayseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using bayseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.7277
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq - tmm ] X 1 )
Error in .local(object, ...) : 
  None of your conditions is replicated. Use method='blind' to estimate across conditions, or 'pooled-CR', if you have crossed factors.
In addition: Warning messages:
1: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
2: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
3: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
4: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq - deseq ] X 1 )
Error in .local(object, ...) : 
  None of your conditions is replicated. Use method='blind' to estimate across conditions, or 'pooled-CR', if you have crossed factors.
In addition: Warning messages:
1: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
2: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq - deseq2 ] X 1 )
Error in .local(object, ...) : 
  None of your conditions is replicated. Use method='blind' to estimate across conditions, or 'pooled-CR', if you have crossed factors.
In addition: Warning messages:
1: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
2: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.7830125
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq2 - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq2 - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq2 - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq2 ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8018062
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ edger - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ edger - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using edger ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.7875406
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Generating simulation data under NB distribution ...
TCC::INFO: (genesizes   :  1000 )
TCC::INFO: (samples     :  8 )
TCC::INFO: (factors     :  2 )
TCC::INFO: (PDEG        :  0.1 )
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ bayseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ bayseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ bayseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using bayseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8155056
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq - tmm ] X 1 )
Error in .local(object, ...) : 
  None of your conditions is replicated. Use method='blind' to estimate across conditions, or 'pooled-CR', if you have crossed factors.
In addition: Warning messages:
1: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
2: In checkForExperimentalReplicates(object, modelMatrix) :
  same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates.
  please read the ?DESeq section on 'Experiments without replicates'.
  in summary: this analysis only potentially useful for data exploration,
  accurate differential expression analysis requires replication
3: In checkForExperimentalReplicates(object, modelMatrix) :
  same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates.
  please read the ?DESeq section on 'Experiments without replicates'.
  in summary: this analysis only potentially useful for data exploration,
  accurate differential expression analysis requires replication
4: In checkForExperimentalReplicates(object, modelMatrix) :
  same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates.
  please read the ?DESeq section on 'Experiments without replicates'.
  in summary: this analysis only potentially useful for data exploration,
  accurate differential expression analysis requires replication
5: In checkForExperimentalReplicates(object, modelMatrix) :
  same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates.
  please read the ?DESeq section on 'Experiments without replicates'.
  in summary: this analysis only potentially useful for data exploration,
  accurate differential expression analysis requires replication
6: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq - deseq ] X 1 )
Error in .local(object, ...) : 
  None of your conditions is replicated. Use method='blind' to estimate across conditions, or 'pooled-CR', if you have crossed factors.
In addition: There were 39 warnings (use warnings() to see them)
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq - deseq2 ] X 1 )
Error in .local(object, ...) : 
  None of your conditions is replicated. Use method='blind' to estimate across conditions, or 'pooled-CR', if you have crossed factors.
In addition: There were 39 warnings (use warnings() to see them)
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.9104667
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq2 - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq2 - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq2 - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq2 ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8982222
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ edger - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ edger - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using edger ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.9163889
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ samseq - tmm ] X 1 )
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ samseq - deseq ] X 1 )
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ samseq - deseq2 ] X 1 )
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using samseq ...
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8867833
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ voom - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ voom - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ voom - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using voom ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8745556
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Generating simulation data under NB distribution ...
TCC::INFO: (genesizes   :  1000 )
TCC::INFO: (replicates  :  3, 3, 3 )
TCC::INFO: (PDEG        :  0.12, 0.04, 0.04 )
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ bayseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ bayseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ bayseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using bayseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.5912875
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.9232125
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq2 - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq2 - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq2 - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq2 ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.9033875
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ edger - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ edger - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using edger ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.9360625
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ samseq - tmm ] X 1 )
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ samseq - deseq ] X 1 )
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ samseq - deseq2 ] X 1 )
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using samseq ...
TCC::INFO: TCC does not use the normalization factors when 'test.method = "samseq"'.
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8705156
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ voom - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ voom - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ voom - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using voom ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8904062
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Generating simulation data under NB distribution ...
TCC::INFO: (genesizes   :  1000 )
TCC::INFO: (replicates  :  1, 1, 1 )
TCC::INFO: (PDEG        :  0.12, 0.04, 0.04 )
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ bayseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ bayseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ bayseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using bayseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.7669656
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq - tmm ] X 1 )
Error in .local(object, ...) : 
  None of your conditions is replicated. Use method='blind' to estimate across conditions, or 'pooled-CR', if you have crossed factors.
In addition: There were 50 or more warnings (use warnings() to see the first 50)
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq - deseq ] X 1 )
Error in .local(object, ...) : 
  None of your conditions is replicated. Use method='blind' to estimate across conditions, or 'pooled-CR', if you have crossed factors.
In addition: Warning messages:
1: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
2: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq - deseq2 ] X 1 )
Error in .local(object, ...) : 
  None of your conditions is replicated. Use method='blind' to estimate across conditions, or 'pooled-CR', if you have crossed factors.
In addition: Warning messages:
1: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
2: In .local(object, ...) :
  in estimateDispersions: Ignoring extra argument(s).
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8120906
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq2 - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq2 - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq2 - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq2 ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.8118031
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ edger - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ edger - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using edger ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.7779531
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Generating simulation data under NB distribution ...
TCC::INFO: (genesizes   :  1000 )
TCC::INFO: (samples     :  12 )
TCC::INFO: (factors     :  2 )
TCC::INFO: (PDEG        :  0.1 )
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ bayseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ bayseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ bayseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using bayseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.6336421
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.9379033
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ deseq2 - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ deseq2 - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ deseq2 - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using deseq2 ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.9244676
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ edger - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ edger - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ edger - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using edger ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.9400005
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : tmm - [ voom - tmm ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq - [ voom - deseq ] X 1 )
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using DEGES
TCC::INFO: (iDEGES pipeline : deseq2 - [ voom - deseq2 ] X 1 )
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using voom ...
TCC::INFO: Done.
NA in cutpts forces recomputation using smallest gap
[1] 0.9159638
NA in cutpts forces recomputation using smallest gap
TCC::INFO: Calculating normalization factors using tmm ...
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using edger ...
TCC::INFO: Done.
TCC::INFO: Calculating normalization factors using tmm ...
TCC::INFO: Done.
TCC::INFO: Identifying DE genes using edger ...
TCC::INFO: Done.
TCC::INFO: Generating simulation data under NB distribution ...
TCC::INFO: (genesizes   :  1000 )
TCC::INFO: (replicates  :  3, 3 )
TCC::INFO: (PDEG        :  0.18, 0.02 )
TCC::INFO: Generating simulation data under NB distribution ...
TCC::INFO: (genesizes   :  1000 )
TCC::INFO: (replicates  :  3, 3, 3 )
TCC::INFO: (PDEG        :  0.18, 0.01, 0.01 )


RUNIT TEST PROTOCOL -- Thu Apr 12 03:24:29 2018 
*********************************************** 
Number of test functions: 10 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
TCC RUnit Tests - 10 test functions, 0 errors, 0 failures
Number of test functions: 10 
Number of errors: 0 
Number of failures: 0 
There were 50 or more warnings (use warnings() to see the first 50)
> 
> proc.time()
   user  system elapsed 
277.084   0.240 277.548 

name	user	system	elapsed
ROKU	0.064	0.000	0.063
TCC-class	10.700	0.048	10.756
TCC	0.008	0.000	0.007
WAD	0.128	0.000	0.128
arab	0.036	0.000	0.036
calcAUCValue	6.984	0.000	6.987
calcNormFactors	7.036	0.004	7.045
clusterSample	0.072	0.000	0.072
estimateDE	1.072	0.004	1.077
filterLowCountGenes	0.040	0.004	0.046
getNormalizedData	0.236	0.000	0.236
getResult	1.380	0.000	1.377
hypoData	2.400	0.000	2.403
hypoData_mg	2.716	0.000	2.722
hypoData_ts	0.000	0.000	0.001
makeFCMatrix	0.004	0.000	0.003
nakai	0.04	0.00	0.04
plot.TCC	5.632	0.016	5.650
plotFCPseudocolor	5.432	0.008	5.443
simulateReadCounts	8.480	0.008	8.491