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CHECK report for TCC on tokay2

This page was generated on 2018-10-17 08:37:37 -0400 (Wed, 17 Oct 2018).

Package 1466/1561HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
TCC 1.20.1
Jianqiang Sun
Snapshot Date: 2018-10-15 16:45:08 -0400 (Mon, 15 Oct 2018)
URL: https://git.bioconductor.org/packages/TCC
Branch: RELEASE_3_7
Last Commit: 075b9fe
Last Changed Date: 2018-08-21 04:11:06 -0400 (Tue, 21 Aug 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 [ WARNINGS ] 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: TCC
Version: 1.20.1
Command: C:\Users\biocbuild\bbs-3.7-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:TCC.install-out.txt --library=C:\Users\biocbuild\bbs-3.7-bioc\R\library --no-vignettes --timings TCC_1.20.1.tar.gz
StartedAt: 2018-10-17 05:09:28 -0400 (Wed, 17 Oct 2018)
EndedAt: 2018-10-17 05:30:14 -0400 (Wed, 17 Oct 2018)
EllapsedTime: 1245.5 seconds
RetCode: 0
Status:  WARNINGS  
CheckDir: TCC.Rcheck
Warnings: 1

Command output

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###
### Running command:
###
###   C:\Users\biocbuild\bbs-3.7-bioc\R\bin\R.exe CMD check --force-multiarch --install=check:TCC.install-out.txt --library=C:\Users\biocbuild\bbs-3.7-bioc\R\library --no-vignettes --timings TCC_1.20.1.tar.gz
###
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* using log directory 'C:/Users/biocbuild/bbs-3.7-bioc/meat/TCC.Rcheck'
* using R version 3.5.1 Patched (2018-07-24 r75005)
* using platform: x86_64-w64-mingw32 (64-bit)
* using session charset: ISO8859-1
* using option '--no-vignettes'
* checking for file 'TCC/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'TCC' version '1.20.1'
* 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 whether package 'TCC' can be installed ... WARNING
Found the following significant warnings:
  Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/estimateDE.Rd:66: file link 'glmLRT' in package 'edgeR' does not exist and so has been treated as a topic
  Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/estimateDE.Rd:73: file link 'glmLRT' in package 'edgeR' does not exist and so has been treated as a topic
  Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/estimateDE.Rd:81: file link 'getPriors.NB' in package 'baySeq' does not exist and so has been treated as a topic
  Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/estimateDE.Rd:128: file link 'glmLRT' in package 'edgeR' does not exist and so has been treated as a topic
  Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/estimateDE.Rd:152: file link 'getPriors.NB' in package 'baySeq' does not exist and so has been treated as a topic
  Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/getResult.Rd:20: file link 'plot' in package 'TCC' does not exist and so has been treated as a topic
See 'C:/Users/biocbuild/bbs-3.7-bioc/meat/TCC.Rcheck/00install.out' for details.
* 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
* loading checks for arch 'i386'
** 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
* loading checks for arch 'x64'
** 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 files in 'vignettes' ... OK
* checking examples ...
** running examples for arch 'i386' ... OK
Examples with CPU or elapsed time > 5s
                    user system elapsed
simulateReadCounts 20.26   0.05   20.31
calcAUCValue       16.25   0.02   16.28
TCC-class          14.98   0.09   15.08
plotFCPseudocolor  12.47   0.01   12.48
calcNormFactors    12.42   0.03   12.45
plot.TCC           12.14   0.02   12.17
hypoData_mg         7.97   0.02    8.00
hypoData            7.86   0.00    7.86
** running examples for arch 'x64' ... OK
Examples with CPU or elapsed time > 5s
                    user system elapsed
simulateReadCounts 22.32   0.03   22.38
calcAUCValue       17.32   0.02   17.34
plotFCPseudocolor  16.69   0.02   16.70
TCC-class          15.64   0.08   15.72
calcNormFactors    11.67   0.00   11.67
plot.TCC           10.05   0.01   10.07
hypoData            7.64   0.01    7.66
hypoData_mg         7.62   0.00    7.62
* checking for unstated dependencies in 'tests' ... OK
* checking tests ...
** running tests for arch 'i386' ...
  Running 'runTests.R'
 OK
** running tests for arch 'x64' ...
  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: 1 WARNING
See
  'C:/Users/biocbuild/bbs-3.7-bioc/meat/TCC.Rcheck/00check.log'
for details.

Installation output

TCC.Rcheck/00install.out

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###
### Running command:
###
###   C:\cygwin\bin\curl.exe -O https://malbec2.bioconductor.org/BBS/3.7/bioc/src/contrib/TCC_1.20.1.tar.gz && rm -rf TCC.buildbin-libdir && mkdir TCC.buildbin-libdir && C:\Users\biocbuild\bbs-3.7-bioc\R\bin\R.exe CMD INSTALL --merge-multiarch --build --library=TCC.buildbin-libdir TCC_1.20.1.tar.gz && C:\Users\biocbuild\bbs-3.7-bioc\R\bin\R.exe CMD INSTALL TCC_1.20.1.zip && rm TCC_1.20.1.tar.gz TCC_1.20.1.zip
###
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  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed

  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
100  858k  100  858k    0     0  12.2M      0 --:--:-- --:--:-- --:--:-- 13.5M

install for i386

* installing *source* package 'TCC' ...
** R
** data
** inst
** byte-compile and prepare package for lazy loading
Creating a new generic function for 'calcNormFactors' in package 'TCC'
** help
*** installing help indices
  converting help for package 'TCC'
    finding HTML links ... done
    ROKU                                    html  
    TCC-class                               html  
    TCC                                     html  
    WAD                                     html  
    arab                                    html  
    calcAUCValue                            html  
    calcNormFactors                         html  
    clusterSample                           html  
    estimateDE                              html  
Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/estimateDE.Rd:66: file link 'glmLRT' in package 'edgeR' does not exist and so has been treated as a topic
Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/estimateDE.Rd:73: file link 'glmLRT' in package 'edgeR' does not exist and so has been treated as a topic
Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/estimateDE.Rd:81: file link 'getPriors.NB' in package 'baySeq' does not exist and so has been treated as a topic
Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/estimateDE.Rd:128: file link 'glmLRT' in package 'edgeR' does not exist and so has been treated as a topic
Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/estimateDE.Rd:152: file link 'getPriors.NB' in package 'baySeq' does not exist and so has been treated as a topic
    filterLowCountGenes                     html  
    getNormalizedData                       html  
    getResult                               html  
Rd warning: C:/Users/biocbuild/bbs-3.7-bioc/tmpdir/Rtmpob2R3p/R.INSTALL261c113d1230/TCC/man/getResult.Rd:20: file link 'plot' in package 'TCC' does not exist and so has been treated as a topic
    hypoData                                html  
    hypoData_mg                             html  
    hypoData_ts                             html  
    makeFCMatrix                            html  
    nakai                                   html  
    plot.TCC                                html  
    plotFCPseudocolor                       html  
    simulateReadCounts                      html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
In R CMD INSTALL

install for x64

* installing *source* package 'TCC' ...
** testing if installed package can be loaded
* MD5 sums
packaged installation of 'TCC' as TCC_1.20.1.zip
* DONE (TCC)
In R CMD INSTALL
In R CMD INSTALL
* installing to library 'C:/Users/biocbuild/bbs-3.7-bioc/R/library'
package 'TCC' successfully unpacked and MD5 sums checked
In R CMD INSTALL

Tests output

TCC.Rcheck/tests_i386/runTests.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: i386-w64-mingw32/i386 (32-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, basename, cbind, colMeans, colSums, colnames,
    dirname, 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: 'IRanges'

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

    windows


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 objects are masked from 'package:base':

    aperm, 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] 0.8598281
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] 0.8734625
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] 0.6686031
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] 0.8193219
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] 0.8374125
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] 0.80945
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] 0.6295278
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) : 

  Deprectation note: Analysis of designs without replicates will be removed
  in the Oct 2018 release: DESeq2 v1.22.0, after which DESeq2 will give an error.

3: In checkForExperimentalReplicates(object, modelMatrix) : 

  The design matrix has the same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates. This analysis
  is not useful for accurate differential expression analysis, and arguably
  not for data exploration either, as large differences appear as high dispersion.

4: In checkForExperimentalReplicates(object, modelMatrix) : 

  Deprectation note: Analysis of designs without replicates will be removed
  in the Oct 2018 release: DESeq2 v1.22.0, after which DESeq2 will give an error.

5: In checkForExperimentalReplicates(object, modelMatrix) : 

  The design matrix has the same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates. This analysis
  is not useful for accurate differential expression analysis, and arguably
  not for data exploration either, as large differences appear as high dispersion.

6: In checkForExperimentalReplicates(object, modelMatrix) : 

  Deprectation note: Analysis of designs without replicates will be removed
  in the Oct 2018 release: DESeq2 v1.22.0, after which DESeq2 will give an error.

7: In checkForExperimentalReplicates(object, modelMatrix) : 

  The design matrix has the same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates. This analysis
  is not useful for accurate differential expression analysis, and arguably
  not for data exploration either, as large differences appear as high dispersion.

8: In checkForExperimentalReplicates(object, modelMatrix) : 

  Deprectation note: Analysis of designs without replicates will be removed
  in the Oct 2018 release: DESeq2 v1.22.0, after which DESeq2 will give an error.

9: In checkForExperimentalReplicates(object, modelMatrix) : 

  The design matrix has the same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates. This analysis
  is not useful for accurate differential expression analysis, and arguably
  not for data exploration either, as large differences appear as high dispersion.

10: 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 43 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 43 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] 0.8933889
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] 0.8666111
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] 0.8878222
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] 0.8541889
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] 0.6940969
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] 0.9056812
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] 0.88775
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] 0.9158812
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] 0.8508562
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] 0.7291594
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] 0.8036156
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] 0.7980656
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] 0.7655781
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] 0.6626682
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] 0.9061809
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] 0.9016178
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] 0.9216906
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] 0.8510324
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 -- Wed Oct 17 05:24:12 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 
 415.56    1.78  424.81

TCC.Rcheck/tests_x64/runTests.Rout


R version 3.5.1 Patched (2018-07-24 r75005) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (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, basename, cbind, colMeans, colSums, colnames,
    dirname, 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: 'IRanges'

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

    windows


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 objects are masked from 'package:base':

    aperm, 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] 0.8598406
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] 0.8730375
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] 0.6686031
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] 0.8193219
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] 0.8374125
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] 0.8095375
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] 0.6295278
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) : 

  Deprectation note: Analysis of designs without replicates will be removed
  in the Oct 2018 release: DESeq2 v1.22.0, after which DESeq2 will give an error.

3: In checkForExperimentalReplicates(object, modelMatrix) : 

  The design matrix has the same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates. This analysis
  is not useful for accurate differential expression analysis, and arguably
  not for data exploration either, as large differences appear as high dispersion.

4: In checkForExperimentalReplicates(object, modelMatrix) : 

  Deprectation note: Analysis of designs without replicates will be removed
  in the Oct 2018 release: DESeq2 v1.22.0, after which DESeq2 will give an error.

5: In checkForExperimentalReplicates(object, modelMatrix) : 

  The design matrix has the same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates. This analysis
  is not useful for accurate differential expression analysis, and arguably
  not for data exploration either, as large differences appear as high dispersion.

6: In checkForExperimentalReplicates(object, modelMatrix) : 

  Deprectation note: Analysis of designs without replicates will be removed
  in the Oct 2018 release: DESeq2 v1.22.0, after which DESeq2 will give an error.

7: In checkForExperimentalReplicates(object, modelMatrix) : 

  The design matrix has the same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates. This analysis
  is not useful for accurate differential expression analysis, and arguably
  not for data exploration either, as large differences appear as high dispersion.

8: In checkForExperimentalReplicates(object, modelMatrix) : 

  Deprectation note: Analysis of designs without replicates will be removed
  in the Oct 2018 release: DESeq2 v1.22.0, after which DESeq2 will give an error.

9: In checkForExperimentalReplicates(object, modelMatrix) : 

  The design matrix has the same number of samples and coefficients to fit,
  estimating dispersion by treating samples as replicates. This analysis
  is not useful for accurate differential expression analysis, and arguably
  not for data exploration either, as large differences appear as high dispersion.

10: 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 43 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 43 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] 0.8933889
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] 0.8666111
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] 0.8878222
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] 0.8541889
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] 0.6940969
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] 0.9056812
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] 0.88775
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] 0.9158812
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] 0.8508562
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] 0.7288406
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] 0.8036156
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] 0.7980656
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] 0.7655781
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] 0.6626682
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] 0.9061809
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] 0.9016178
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] 0.9216906
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] 0.8510324
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 -- Wed Oct 17 05:30:02 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 
 348.48    0.68  349.20

Example timings

TCC.Rcheck/examples_i386/TCC-Ex.timings

nameusersystemelapsed
ROKU0.020.000.01
TCC-class14.98 0.0915.08
TCC0.010.000.01
WAD0.140.000.14
arab0.050.000.05
calcAUCValue16.25 0.0216.28
calcNormFactors12.42 0.0312.45
clusterSample0.090.010.11
estimateDE2.070.042.09
filterLowCountGenes0.030.030.06
getNormalizedData0.470.010.49
getResult2.900.002.91
hypoData7.860.007.86
hypoData_mg7.970.028.00
hypoData_ts0.000.020.01
makeFCMatrix000
nakai0.030.010.05
plot.TCC12.14 0.0212.17
plotFCPseudocolor12.47 0.0112.48
simulateReadCounts20.26 0.0520.31

TCC.Rcheck/examples_x64/TCC-Ex.timings

nameusersystemelapsed
ROKU0.010.020.03
TCC-class15.64 0.0815.72
TCC0.010.010.04
WAD0.190.020.20
arab0.060.010.08
calcAUCValue17.32 0.0217.34
calcNormFactors11.67 0.0011.67
clusterSample0.070.000.06
estimateDE1.370.011.39
filterLowCountGenes0.030.040.06
getNormalizedData0.470.010.49
getResult2.050.022.06
hypoData7.640.017.66
hypoData_mg7.620.007.62
hypoData_ts0.020.000.02
makeFCMatrix000
nakai0.030.020.04
plot.TCC10.05 0.0110.07
plotFCPseudocolor16.69 0.0216.70
simulateReadCounts22.32 0.0322.38