coseq.Rcheck/tests_i386/testthat.Rout
R version 3.5.3 (2019-03-11) -- "Great Truth"
Copyright (C) 2019 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.
> library("testthat")
> library("coseq")
Loading required package: SummarizedExperiment
Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, 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
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following object is masked from 'package:base':
expand.grid
Loading required package: IRanges
Attaching package: 'IRanges'
The following object is masked from 'package:grDevices':
windows
Loading required package: GenomeInfoDb
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: DelayedArray
Loading required package: matrixStats
Attaching package: 'matrixStats'
The following objects are masked from 'package:Biobase':
anyMissing, rowMedians
Loading required package: BiocParallel
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
> test_check("coseq")
****************************************
coseq analysis: kmeans approach & logclr transformation
K = 0 to 3
Use set.seed() prior to running coseq for reproducible results.****************************************
****************************************
coseq analysis: Gamma approach & logclr transformation
K = 2 to 4
Use set.seed() prior to running coseq for reproducible results.****************************************
****************************************
coseq analysis: kmeans approach & other transformation
K = 2 to 4
Use set.seed() prior to running coseq for reproducible results.****************************************
****************************************
coseq analysis: kmeans approach & other transformation
K = 2 to 4
Use set.seed() prior to running coseq for reproducible results.****************************************
****************************************
coseq analysis: Normal approach & none transformation
K = 2 to 4
Use set.seed() prior to running coseq for reproducible results.****************************************
****************************************
coseq analysis: Normal approach & logMedianRef transformation
K = 2 to 4
Use set.seed() prior to running coseq for reproducible results.****************************************
== testthat results ===========================================================
OK: 30 SKIPPED: 0 FAILED: 0
>
> proc.time()
user system elapsed
8.23 0.82 9.04
|
coseq.Rcheck/tests_x64/testthat.Rout
R version 3.5.3 (2019-03-11) -- "Great Truth"
Copyright (C) 2019 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("testthat")
> library("coseq")
Loading required package: SummarizedExperiment
Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, 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
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following object is masked from 'package:base':
expand.grid
Loading required package: IRanges
Attaching package: 'IRanges'
The following object is masked from 'package:grDevices':
windows
Loading required package: GenomeInfoDb
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: DelayedArray
Loading required package: matrixStats
Attaching package: 'matrixStats'
The following objects are masked from 'package:Biobase':
anyMissing, rowMedians
Loading required package: BiocParallel
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
> test_check("coseq")
****************************************
coseq analysis: kmeans approach & logclr transformation
K = 0 to 3
Use set.seed() prior to running coseq for reproducible results.****************************************
****************************************
coseq analysis: Gamma approach & logclr transformation
K = 2 to 4
Use set.seed() prior to running coseq for reproducible results.****************************************
****************************************
coseq analysis: kmeans approach & other transformation
K = 2 to 4
Use set.seed() prior to running coseq for reproducible results.****************************************
****************************************
coseq analysis: kmeans approach & other transformation
K = 2 to 4
Use set.seed() prior to running coseq for reproducible results.****************************************
****************************************
coseq analysis: Normal approach & none transformation
K = 2 to 4
Use set.seed() prior to running coseq for reproducible results.****************************************
****************************************
coseq analysis: Normal approach & logMedianRef transformation
K = 2 to 4
Use set.seed() prior to running coseq for reproducible results.****************************************
== testthat results ===========================================================
OK: 30 SKIPPED: 0 FAILED: 0
>
> proc.time()
user system elapsed
9.85 0.45 10.29
|