Back to Multiple platform build/check report for BioC 3.15 |
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This page was generated on 2022-03-18 11:08:34 -0400 (Fri, 18 Mar 2022).
Hostname | OS | Arch (*) | R version | Installed pkgs |
---|---|---|---|---|
nebbiolo1 | Linux (Ubuntu 20.04.4 LTS) | x86_64 | R Under development (unstable) (2022-02-17 r81757) -- "Unsuffered Consequences" | 4334 |
riesling1 | Windows Server 2019 Standard | x64 | R Under development (unstable) (2021-11-21 r81221) -- "Unsuffered Consequences" | 4097 |
palomino3 | Windows Server 2022 Datacenter | x64 | R Under development (unstable) (2022-02-17 r81757 ucrt) -- "Unsuffered Consequences" | 4083 |
merida1 | macOS 10.14.6 Mojave | x86_64 | R Under development (unstable) (2022-03-02 r81842) -- "Unsuffered Consequences" | 4134 |
Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X |
To the developers/maintainers of the RUVSeq package: - Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/RUVSeq.git to reflect on this report. See How and When does the builder pull? When will my changes propagate? here for more information. - Make sure to use the following settings in order to reproduce any error or warning you see on this page. |
Package 1690/2090 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
RUVSeq 1.29.0 (landing page) Davide Risso
| nebbiolo1 | Linux (Ubuntu 20.04.4 LTS) / x86_64 | OK | OK | OK | |||||||||
riesling1 | Windows Server 2019 Standard / x64 | OK | OK | OK | OK | |||||||||
palomino3 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | |||||||||
merida1 | macOS 10.14.6 Mojave / x86_64 | OK | OK | OK | OK | |||||||||
Package: RUVSeq |
Version: 1.29.0 |
Command: D:\biocbuild\bbs-3.15-bioc\R\bin\R.exe CMD check --no-multiarch --install=check:RUVSeq.install-out.txt --library=D:\biocbuild\bbs-3.15-bioc\R\library --no-vignettes --timings RUVSeq_1.29.0.tar.gz |
StartedAt: 2022-03-17 20:09:40 -0400 (Thu, 17 Mar 2022) |
EndedAt: 2022-03-17 20:13:54 -0400 (Thu, 17 Mar 2022) |
EllapsedTime: 254.1 seconds |
RetCode: 0 |
Status: OK |
CheckDir: RUVSeq.Rcheck |
Warnings: 0 |
############################################################################## ############################################################################## ### ### Running command: ### ### D:\biocbuild\bbs-3.15-bioc\R\bin\R.exe CMD check --no-multiarch --install=check:RUVSeq.install-out.txt --library=D:\biocbuild\bbs-3.15-bioc\R\library --no-vignettes --timings RUVSeq_1.29.0.tar.gz ### ############################################################################## ############################################################################## * using log directory 'D:/biocbuild/bbs-3.15-bioc/meat/RUVSeq.Rcheck' * using R Under development (unstable) (2021-11-21 r81221) * using platform: x86_64-w64-mingw32 (64-bit) * using session charset: ISO8859-1 * using option '--no-vignettes' * checking for file 'RUVSeq/DESCRIPTION' ... OK * this is package 'RUVSeq' version '1.29.0' * 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 whether package 'RUVSeq' 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 ... NOTE residuals.DGEGLM : <anonymous>: no visible global function definition for 'poisson' Undefined global functions or variables: poisson Consider adding importFrom("stats", "poisson") to your NAMESPACE file. * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking files in 'vignettes' ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'RUVg.R' Running 'RUVr.R' Running 'RUVs.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 NOTE See 'D:/biocbuild/bbs-3.15-bioc/meat/RUVSeq.Rcheck/00check.log' for details.
RUVSeq.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### D:\biocbuild\bbs-3.15-bioc\R\bin\R.exe CMD INSTALL RUVSeq ### ############################################################################## ############################################################################## * installing to library 'D:/biocbuild/bbs-3.15-bioc/R/library' * installing *source* package 'RUVSeq' ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package 'RUVSeq' finding HTML links ... done RUVSeq-package html RUVg html finding level-2 HTML links ... done RUVr html RUVs html makeGroups html residuals.DGEGLM html ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RUVSeq) Making 'packages.html' ... done
RUVSeq.Rcheck/tests/RUVg.Rout
R Under development (unstable) (2021-11-21 r81221) -- "Unsuffered Consequences" Copyright (C) 2021 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. > library(RUVSeq) Loading required package: Biobase Loading required package: BiocGenerics Attaching package: 'BiocGenerics' 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, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table, tapply, union, unique, unsplit, which.max, which.min Welcome to Bioconductor Vignettes contain introductory material; view with 'browseVignettes()'. To cite Bioconductor, see 'citation("Biobase")', and for packages 'citation("pkgname")'. Loading required package: EDASeq Loading required package: ShortRead Loading required package: BiocParallel Loading required package: Biostrings Loading required package: S4Vectors Loading required package: stats4 Attaching package: 'S4Vectors' The following objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Attaching package: 'IRanges' The following object is masked from 'package:grDevices': windows Loading required package: XVector Loading required package: GenomeInfoDb Attaching package: 'Biostrings' The following object is masked from 'package:base': strsplit Loading required package: Rsamtools Loading required package: GenomicRanges Loading required package: GenomicAlignments Loading required package: SummarizedExperiment Loading required package: MatrixGenerics Loading required package: matrixStats Attaching package: 'matrixStats' The following objects are masked from 'package:Biobase': anyMissing, rowMedians Attaching package: 'MatrixGenerics' The following objects are masked from 'package:matrixStats': colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse, colCounts, colCummaxs, colCummins, colCumprods, colCumsums, colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs, colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats, colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds, colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads, colWeightedMeans, colWeightedMedians, colWeightedSds, colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet, rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods, rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps, rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins, rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks, rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars, rowWeightedMads, rowWeightedMeans, rowWeightedMedians, rowWeightedSds, rowWeightedVars The following object is masked from 'package:Biobase': rowMedians Loading required package: edgeR Loading required package: limma Attaching package: 'limma' The following object is masked from 'package:BiocGenerics': plotMA > > mat <- matrix(data=rpois(100, lambda=10), ncol=10) > rownames(mat) <- paste("gene", 1:10, sep="") > > es <- newSeqExpressionSet(mat) > > ## dimension of W > ks <- 1:5 > > ## matrix > r1 <- lapply(ks, function(k) RUVg(mat, 1:10, k)) > > print(sapply(r1, function(x) dim(x$W))) [,1] [,2] [,3] [,4] [,5] [1,] 10 10 10 10 10 [2,] 1 2 3 4 5 > stopifnot(all(lapply(r1, function(x) dim(x$W)[2])==ks)) > > ## already logged data > r1b <- lapply(ks, function(k) RUVg(log(mat+1), 1:10, k)) Warning messages: 1: In RUVg(log(mat + 1), 1:10, k) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 2: In RUVg(log(mat + 1), 1:10, k) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 3: In RUVg(log(mat + 1), 1:10, k) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 4: In RUVg(log(mat + 1), 1:10, k) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 5: In RUVg(log(mat + 1), 1:10, k) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation > r1c <- lapply(ks, function(k) RUVg(log(mat+1), 1:10, k, isLog=TRUE)) > r1d <- lapply(ks, function(k) RUVg(mat, 1:10, k, round=FALSE)) > > stopifnot(all(sapply(ks, function(i) all(r1[[i]]$W==r1c[[i]]$W)))) > stopifnot(all(sapply(ks, function(i) all(r1d[[i]]$W==r1c[[i]]$W)))) > > stopifnot(all(sapply(ks, function(i) all(log(r1d[[i]]$normalizedCounts+1)-r1c[[i]]$normalizedCounts<1e-8)))) > > ## SeqExpressionSet > r2 <- lapply(ks, function(k) RUVg(es, rownames(es)[1:10], k)) > > print(sapply(r2, function(x) dim(pData(x)))) [,1] [,2] [,3] [,4] [,5] [1,] 10 10 10 10 10 [2,] 1 2 3 4 5 > stopifnot(all(lapply(r2, function(x) dim(pData(x))[2])==ks)) > > ## check handling of zeros > mat <- matrix(data=rpois(100, lambda=2), ncol=10) > rownames(mat) <- paste("gene", 1:10, sep="") > r3 <- RUVg(mat, 1:10, k=1) > print(table(mat==0)) FALSE TRUE 85 15 > print(table(r3$normalizedCounts==0)) FALSE TRUE 91 9 > > proc.time() user system elapsed 13.51 0.78 14.28
RUVSeq.Rcheck/tests/RUVr.Rout
R Under development (unstable) (2021-11-21 r81221) -- "Unsuffered Consequences" Copyright (C) 2021 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. > library(RUVSeq) Loading required package: Biobase Loading required package: BiocGenerics Attaching package: 'BiocGenerics' 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, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table, tapply, union, unique, unsplit, which.max, which.min Welcome to Bioconductor Vignettes contain introductory material; view with 'browseVignettes()'. To cite Bioconductor, see 'citation("Biobase")', and for packages 'citation("pkgname")'. Loading required package: EDASeq Loading required package: ShortRead Loading required package: BiocParallel Loading required package: Biostrings Loading required package: S4Vectors Loading required package: stats4 Attaching package: 'S4Vectors' The following objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Attaching package: 'IRanges' The following object is masked from 'package:grDevices': windows Loading required package: XVector Loading required package: GenomeInfoDb Attaching package: 'Biostrings' The following object is masked from 'package:base': strsplit Loading required package: Rsamtools Loading required package: GenomicRanges Loading required package: GenomicAlignments Loading required package: SummarizedExperiment Loading required package: MatrixGenerics Loading required package: matrixStats Attaching package: 'matrixStats' The following objects are masked from 'package:Biobase': anyMissing, rowMedians Attaching package: 'MatrixGenerics' The following objects are masked from 'package:matrixStats': colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse, colCounts, colCummaxs, colCummins, colCumprods, colCumsums, colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs, colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats, colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds, colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads, colWeightedMeans, colWeightedMedians, colWeightedSds, colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet, rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods, rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps, rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins, rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks, rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars, rowWeightedMads, rowWeightedMeans, rowWeightedMedians, rowWeightedSds, rowWeightedVars The following object is masked from 'package:Biobase': rowMedians Loading required package: edgeR Loading required package: limma Attaching package: 'limma' The following object is masked from 'package:BiocGenerics': plotMA > library(edgeR) > > mat <- matrix(data=rpois(100, lambda=10), ncol=10) > rownames(mat) <- paste("gene", 1:10, sep="") > > es <- newSeqExpressionSet(mat) > > ## compute edgeR residuals > x <- as.factor(rep(c("Ctl", "Trt"), each=5)) > design <- model.matrix(~x) > y <- DGEList(counts=mat, group=x) > y <- calcNormFactors(y, method="upperquartile") > y <- estimateGLMCommonDisp(y, design) > y <- estimateGLMTagwiseDisp(y, design) > > fit <- glmFit(y, design) > res <- residuals(fit, type="deviance") > > ## dimension of W > ks <- 1:5 > > ## matrix > r1 <- lapply(ks, function(k) RUVr(mat, 1:10, k, res)) > > print(sapply(r1, function(x) dim(x$W))) [,1] [,2] [,3] [,4] [,5] [1,] 10 10 10 10 10 [2,] 1 2 3 4 5 > stopifnot(all(lapply(r1, function(x) dim(x$W)[2])==ks)) > > ## already logged data > r1b <- lapply(ks, function(k) RUVr(log(mat+1), 1:10, k, res)) Warning messages: 1: In RUVr(log(mat + 1), 1:10, k, res) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 2: In RUVr(log(mat + 1), 1:10, k, res) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 3: In RUVr(log(mat + 1), 1:10, k, res) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 4: In RUVr(log(mat + 1), 1:10, k, res) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 5: In RUVr(log(mat + 1), 1:10, k, res) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation > r1c <- lapply(ks, function(k) RUVr(log(mat+1), 1:10, k, res, isLog=TRUE)) > r1d <- lapply(ks, function(k) RUVr(mat, 1:10, k, res, round=FALSE)) > > stopifnot(all(sapply(ks, function(i) all(r1[[i]]$W==r1c[[i]]$W)))) > stopifnot(all(sapply(ks, function(i) all(r1d[[i]]$W==r1c[[i]]$W)))) > > stopifnot(all(sapply(ks, function(i) all(log(r1d[[i]]$normalizedCounts+1)-r1c[[i]]$normalizedCounts<1e-8)))) > > ## SeqExpressionSet > r2 <- lapply(ks, function(k) RUVr(es, rownames(es)[1:10], k, res)) > > print(sapply(r2, function(x) dim(pData(x)))) [,1] [,2] [,3] [,4] [,5] [1,] 10 10 10 10 10 [2,] 1 2 3 4 5 > stopifnot(all(lapply(r2, function(x) dim(pData(x))[2])==ks)) > > ## check handling of zeros > mat <- matrix(data=rpois(100, lambda=2), ncol=10) > rownames(mat) <- paste("gene", 1:10, sep="") > r3 <- RUVr(mat, 1:10, k=1, res) > print(table(mat==0)) FALSE TRUE 86 14 > print(table(r3$normalizedCounts==0)) FALSE TRUE 86 14 > > proc.time() user system elapsed 10.81 0.60 11.39
RUVSeq.Rcheck/tests/RUVs.Rout
R Under development (unstable) (2021-11-21 r81221) -- "Unsuffered Consequences" Copyright (C) 2021 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. > library(RUVSeq) Loading required package: Biobase Loading required package: BiocGenerics Attaching package: 'BiocGenerics' 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, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table, tapply, union, unique, unsplit, which.max, which.min Welcome to Bioconductor Vignettes contain introductory material; view with 'browseVignettes()'. To cite Bioconductor, see 'citation("Biobase")', and for packages 'citation("pkgname")'. Loading required package: EDASeq Loading required package: ShortRead Loading required package: BiocParallel Loading required package: Biostrings Loading required package: S4Vectors Loading required package: stats4 Attaching package: 'S4Vectors' The following objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Attaching package: 'IRanges' The following object is masked from 'package:grDevices': windows Loading required package: XVector Loading required package: GenomeInfoDb Attaching package: 'Biostrings' The following object is masked from 'package:base': strsplit Loading required package: Rsamtools Loading required package: GenomicRanges Loading required package: GenomicAlignments Loading required package: SummarizedExperiment Loading required package: MatrixGenerics Loading required package: matrixStats Attaching package: 'matrixStats' The following objects are masked from 'package:Biobase': anyMissing, rowMedians Attaching package: 'MatrixGenerics' The following objects are masked from 'package:matrixStats': colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse, colCounts, colCummaxs, colCummins, colCumprods, colCumsums, colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs, colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats, colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds, colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads, colWeightedMeans, colWeightedMedians, colWeightedSds, colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet, rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods, rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps, rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins, rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks, rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars, rowWeightedMads, rowWeightedMeans, rowWeightedMedians, rowWeightedSds, rowWeightedVars The following object is masked from 'package:Biobase': rowMedians Loading required package: edgeR Loading required package: limma Attaching package: 'limma' The following object is masked from 'package:BiocGenerics': plotMA > > mat <- matrix(data=rpois(100, lambda=10), ncol=10) > rownames(mat) <- paste("gene", 1:10, sep="") > > differences <- matrix(data=c(1:3, 4:6), byrow=TRUE, nrow=2) > > es <- newSeqExpressionSet(mat) > > ## dimension of W > ks <- 1:4 > > ## matrix > r1 <- lapply(ks, function(k) RUVs(mat, 1:10, k, differences)) > > print(sapply(r1, function(x) dim(x$W))) [,1] [,2] [,3] [,4] [1,] 10 10 10 10 [2,] 1 2 3 4 > stopifnot(all(lapply(r1, function(x) dim(x$W)[2])==ks)) > > ## already logged data > r1b <- lapply(ks, function(k) RUVs(log(mat+1), 1:10, k, differences)) Warning messages: 1: In RUVs(log(mat + 1), 1:10, k, differences) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 2: In RUVs(log(mat + 1), 1:10, k, differences) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 3: In RUVs(log(mat + 1), 1:10, k, differences) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation 4: In RUVs(log(mat + 1), 1:10, k, differences) : The expression matrix does not contain counts. Please, pass a matrix of counts (not logged) or set isLog to TRUE to skip the log transformation > r1c <- lapply(ks, function(k) RUVs(log(mat+1), 1:10, k, differences, isLog=TRUE)) > r1d <- lapply(ks, function(k) RUVs(mat, 1:10, k, differences, round=FALSE)) > > stopifnot(all(sapply(ks, function(i) all(r1[[i]]$W==r1c[[i]]$W)))) > stopifnot(all(sapply(ks, function(i) all(r1d[[i]]$W==r1c[[i]]$W)))) > > stopifnot(all(sapply(ks, function(i) all(log(r1d[[i]]$normalizedCounts+1)-r1c[[i]]$normalizedCounts<1e-8)))) > > ## SeqExpressionSet > r2 <- lapply(ks, function(k) RUVs(es, rownames(es)[1:10], k, differences)) > > print(sapply(r2, function(x) dim(pData(x)))) [,1] [,2] [,3] [,4] [1,] 10 10 10 10 [2,] 1 2 3 4 > stopifnot(all(lapply(r2, function(x) dim(pData(x))[2])==ks)) > > ## check handling of zeros > mat <- matrix(data=rpois(100, lambda=2), ncol=10) > rownames(mat) <- paste("gene", 1:10, sep="") > r3 <- RUVs(mat, 1:10, k=1, differences) > print(table(mat==0)) FALSE TRUE 83 17 > print(table(r3$normalizedCounts==0)) FALSE TRUE 90 10 > > ## make groups > factor1 <- rep(c("a", "b", "c"), each=3) > factor2 <- c(rep("a", 4), rep("b", 2), rep("c", 3)) > factor3 <- rep(1:6, each=2) > > makeGroups(factor1) [,1] [,2] [,3] [1,] 1 2 3 [2,] 4 5 6 [3,] 7 8 9 > makeGroups(as.factor(factor1)) [,1] [,2] [,3] [1,] 1 2 3 [2,] 4 5 6 [3,] 7 8 9 > makeGroups(factor2) [,1] [,2] [,3] [,4] [1,] 1 2 3 4 [2,] 5 6 -1 -1 [3,] 7 8 9 -1 > makeGroups(as.factor(factor2)) [,1] [,2] [,3] [,4] [1,] 1 2 3 4 [2,] 5 6 -1 -1 [3,] 7 8 9 -1 > makeGroups(factor3) [,1] [,2] [1,] 1 2 [2,] 3 4 [3,] 5 6 [4,] 7 8 [5,] 9 10 [6,] 11 12 > makeGroups(as.factor(factor3)) [,1] [,2] [1,] 1 2 [2,] 3 4 [3,] 5 6 [4,] 7 8 [5,] 9 10 [6,] 11 12 > > > > proc.time() user system elapsed 10.73 0.67 11.39
RUVSeq.Rcheck/RUVSeq-Ex.timings
name | user | system | elapsed | |
RUVg | 0.50 | 0.02 | 0.52 | |
RUVr | 0.94 | 0.01 | 0.95 | |
RUVs | 0.19 | 0.00 | 0.19 | |
makeGroups | 0 | 0 | 0 | |
residuals.DGEGLM | 0.75 | 0.02 | 0.76 | |