evaluomeR.Rcheck/tests_i386/testAll.Rout
R Under development (unstable) (2019-03-09 r76216) -- "Unsuffered Consequences"
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(evaluomeR)
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, 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, rowsum
Loading required package: MultiAssayExperiment
>
> data("rnaMetrics")
>
>
> dataFrame <- stability(data=rnaMetrics, k=2, bs=20, getImages = FALSE)
Processing metric: RIN ( 1 )
Calculation of k = 2
Processing metric: DegFact ( 2 )
Calculation of k = 2
> dataFrame <- stabilityRange(data=rnaMetrics, k.range=c(2,5), bs=20, getImages = FALSE)
Processing metric: RIN ( 1 )
Calculation of k = 2
Calculation of k = 3
Calculation of k = 4
Calculation of k = 5
Processing metric: DegFact ( 2 )
Calculation of k = 2
Calculation of k = 3
Calculation of k = 4
Calculation of k = 5
>
> dataFrame <- quality(data=rnaMetrics, k=2, getImages = FALSE)
Processing metric: RIN ( 1 )
Calculation of k = 2
Processing metric: DegFact ( 2 )
Calculation of k = 2
> dataFrame <- qualityRange(data=rnaMetrics, k.range=c(2,3), getImages = FALSE)
Processing metric: RIN ( 1 )
Calculation of k = 2
Calculation of k = 3
Processing metric: DegFact ( 2 )
Calculation of k = 2
Calculation of k = 3
> assay(getDataQualityRange(dataFrame, 2), 1)
Metric Cluster_1_SilScore Cluster_2_SilScore Avg_Silhouette_Width
1 "RIN" "0.583166775069983" "0.619872562681118" "0.608402004052639"
2 "DegFact" "0.728789163508571" "0.415236312384011" "0.630803897532146"
Cluster_1_Size Cluster_2_Size
1 "5" "11"
2 "11" "5"
>
> dataFrame <- metricsCorrelations(data=rnaMetrics, getImages = FALSE, margins = c(4,4,11,10))
> assay(dataFrame, 1)
RIN DegFact
RIN 1.0000000 -0.9744685
DegFact -0.9744685 1.0000000
>
> proc.time()
user system elapsed
7.01 0.70 7.70
|
evaluomeR.Rcheck/tests_x64/testAll.Rout
R Under development (unstable) (2019-03-09 r76216) -- "Unsuffered Consequences"
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(evaluomeR)
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, 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, rowsum
Loading required package: MultiAssayExperiment
>
> data("rnaMetrics")
>
>
> dataFrame <- stability(data=rnaMetrics, k=2, bs=20, getImages = FALSE)
Processing metric: RIN ( 1 )
Calculation of k = 2
Processing metric: DegFact ( 2 )
Calculation of k = 2
> dataFrame <- stabilityRange(data=rnaMetrics, k.range=c(2,5), bs=20, getImages = FALSE)
Processing metric: RIN ( 1 )
Calculation of k = 2
Calculation of k = 3
Calculation of k = 4
Calculation of k = 5
Processing metric: DegFact ( 2 )
Calculation of k = 2
Calculation of k = 3
Calculation of k = 4
Calculation of k = 5
>
> dataFrame <- quality(data=rnaMetrics, k=2, getImages = FALSE)
Processing metric: RIN ( 1 )
Calculation of k = 2
Processing metric: DegFact ( 2 )
Calculation of k = 2
> dataFrame <- qualityRange(data=rnaMetrics, k.range=c(2,3), getImages = FALSE)
Processing metric: RIN ( 1 )
Calculation of k = 2
Calculation of k = 3
Processing metric: DegFact ( 2 )
Calculation of k = 2
Calculation of k = 3
> assay(getDataQualityRange(dataFrame, 2), 1)
Metric Cluster_1_SilScore Cluster_2_SilScore Avg_Silhouette_Width
1 "RIN" "0.431069592245246" "0.803182811595014" "0.61712620192013"
2 "DegFact" "0.728789163508571" "0.415236312384011" "0.630803897532146"
Cluster_1_Size Cluster_2_Size
1 "8" "8"
2 "11" "5"
>
> dataFrame <- metricsCorrelations(data=rnaMetrics, getImages = FALSE, margins = c(4,4,11,10))
> assay(dataFrame, 1)
RIN DegFact
RIN 1.0000000 -0.9744685
DegFact -0.9744685 1.0000000
>
> proc.time()
user system elapsed
6.84 0.37 7.20
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