metaseqR2.Rcheck/tests_i386/runTests.Rout
R version 4.0.3 (2020-10-10) -- "Bunny-Wunnies Freak Out"
Copyright (C) 2020 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("metaseqR2")
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, 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, which.max, which.min
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
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
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, rowsum
Attaching package: 'limma'
The following object is masked from 'package:DESeq2':
plotMA
The following object is masked from 'package:BiocGenerics':
plotMA
locfit 1.5-9.4 2020-03-24
Attaching package: 'metaseqR2'
The following object is masked from 'package:limma':
readTargets
Downsampling counts...
Estimating initial dispersion population...
Estimating dispersions using log-likelihood...
Running simulations... This procedure requires time... Please wait...Using Ensembl host http://may2012.archive.ensembl.org
2020-10-17 06:04:15: Data processing started...
Read counts file: imported custom data frame
Conditions: G1, G2
Samples to include: G1_rep1, G1_rep2, G1_rep3, G2_rep1, G2_rep2, G2_rep3
Samples to exclude: none
Requested contrasts: G1_vs_G2
Annotation: embedded
Organism: mm9
Reference source: ensembl
Count type: gene
Analysis preset: all_basic
Transcriptional level: gene
Exon filters: none applied
Gene filters: none applied
Filter application: postnorm
Normalization algorithm: edaseq
Normalization arguments:
within.which: loess
between.which: full
Statistical algorithm: edger, limma
Statistical arguments:
edger: classic, 5, 10, movingave, NULL, grid, 11, c(-6, 6), NULL, CoxReid, 10000, NULL, auto, NULL, NULL, NULL, NULL, 0.125, NULL, auto, chisq, TRUE, FALSE, c(0.05, 0.1)
limma: none
Meta-analysis method: simes
Multiple testing correction: BH
Logarithmic transformation offset: 1
Analysis preset: all_basic
Quality control plots:
Figure format: png
Output directory: C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\Rtmp48kNb7
Output data: annotation, p_value, adj_p_value, meta_p_value, adj_meta_p_value, fold_change
Output scale(s): natural, log2
Output values: normalized
Loading gene annotation...
Saving gene model to C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\Rtmp48kNb7/data/gene_model.RData
Removing genes with zero counts in all samples...
Normalizing with: edaseq
Running statistical tests with: edger
Contrast: G1_vs_G2
Running statistical tests with: limma
Contrast: G1_vs_G2
Performing meta-analysis with simes
Building output files...
Contrast: G1_vs_G2
Adding non-filtered data...
binding annotation...
binding p-values...
binding FDRs...
binding meta p-values...
binding adjusted meta p-values...
binding natural normalized fold changes...
binding log2 normalized fold changes...
Writing output...
2020-10-17 06:04:16: Data processing finished!
Total processing time: 00 seconds
Estimating AUFC weights... Please wait...
Processing edger
Processing limma
Retrieving edger
Retrieving limma
2020-10-17 06:04:17: Data processing started...
Read counts file: imported custom data frame
Conditions: e14.5, adult_8_weeks
Samples to include: e14.5_1, e14.5_2, a8w_1, a8w_2
Samples to exclude: none
Requested contrasts: adult_8_weeks_vs_e14.5
Library sizes:
e14.5_1: 3102907
e14.5_2: 2067905
a8w_1: 3742059
a8w_2: 4403954
Annotation: embedded
Organism: mm9
Reference source: ensembl
Count type: gene
Analysis preset: medium_basic
Transcriptional level: gene
Exon filters: minActiveExons
minActiveExons:
exonsPerGene: 5
minExons: 2
frac: 0.2
Gene filters: length, avgReads, expression, biotype
length:
length: 500
avgReads:
averagePerBp: 100
quantile: 0.25
expression:
median: TRUE
mean: FALSE
quantile: NA
known: NA
custom: NA
biotype:
pseudogene: FALSE
snRNA: FALSE
protein_coding: FALSE
antisense: FALSE
miRNA: FALSE
lincRNA: FALSE
snoRNA: FALSE
processed_transcript: FALSE
misc_RNA: FALSE
rRNA: TRUE
sense_overlapping: FALSE
sense_intronic: FALSE
polymorphic_pseudogene: FALSE
non_coding: FALSE
three_prime_overlapping_ncrna: FALSE
IG_C_gene: FALSE
IG_J_gene: FALSE
IG_D_gene: FALSE
IG_V_gene: FALSE
ncrna_host: FALSE
Filter application: postnorm
Normalization algorithm: edger
Normalization arguments:
method: TMM
logratioTrim: 0.3
sumTrim: 0.05
doWeighting: TRUE
Acutoff: -1e+10
p: 0.75
Statistical algorithm: edger, limma
Statistical arguments:
edger: classic, 5, 10, movingave, NULL, grid, 11, c(-6, 6), NULL, CoxReid, 10000, NULL, auto, NULL, NULL, NULL, NULL, 0.125, NULL, auto, chisq, TRUE, FALSE, c(0.05, 0.1)
limma: none
Meta-analysis method: simes
Multiple testing correction: BH
p-value threshold: 0.05
Logarithmic transformation offset: 1
Analysis preset: medium_basic
Quality control plots: mds
Figure format: png
Output directory: C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\Rtmp48kNb7
Output data: annotation, p_value, adj_p_value, meta_p_value, adj_meta_p_value, fold_change
Output scale(s): natural, log2
Output values: normalized
Loading gene annotation...
Saving gene model to C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\Rtmp48kNb7/data/gene_model.RData
Removing genes with zero counts in all samples...
Normalizing with: edger
Applying gene filter length...
Threshold below which ignored: 500
Applying gene filter avgReads...
Threshold below which ignored: 0.0659629215631332
Applying gene filter expression...
Threshold below which ignored: 68
Applying gene filter biotype...
Biotypes ignored: rRNA
2106 genes filtered out
1681 genes remain after filtering
Running statistical tests with: edger
Contrast: adult_8_weeks_vs_e14.5
Contrast adult_8_weeks_vs_e14.5: found 906 genes
Running statistical tests with: limma
Contrast: adult_8_weeks_vs_e14.5
Contrast adult_8_weeks_vs_e14.5: found 911 genes
Performing meta-analysis with simes
Building output files...
Contrast: adult_8_weeks_vs_e14.5
Adding non-filtered data...
binding annotation...
binding p-values...
binding FDRs...
binding meta p-values...
binding adjusted meta p-values...
binding natural normalized fold changes...
binding log2 normalized fold changes...
Writing output...
Adding filtered data...
binding annotation...
binding p-values...
binding FDRs...
binding meta p-values...
binding adjusted meta p-values...
binding natural normalized fold changes...
binding log2 normalized fold changes...
Writing output...
Adding report data...
binding annotation...
binding meta p-values...
binding adjusted meta p-values...
binding log2 normalized fold changes...
binding normalized mean counts...
binding normalized mean counts...
Creating quality control graphs...
Plotting in png format...
Plotting mds...
Importing mds...
Writing plot database in C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\Rtmp48kNb7/data/reportdb.js
Creating HTML report...
Compressing figures... adding: Users/biocbuild/bbs-3.11-bioc/tmpdir/Rtmp48kNb7/plots/qc/mds.png (deflated 62%)
Downloading required JavaScript libraries...trying URL 'https://raw.github.com/HubSpot/pace/v1.0.0/pace.min.js'
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downloaded 55 KB
processing file: metaseqr2_report.Rmd
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Attaching package: 'gplots'
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space
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Loading required package: plotly
Loading required package: ggplot2
Attaching package: 'plotly'
The following object is masked from 'package:ggplot2':
last_plot
The following object is masked from 'package:IRanges':
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The following object is masked from 'package:S4Vectors':
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The following object is masked from 'package:stats':
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The following object is masked from 'package:graphics':
layout
Loading required package: viridis
Loading required package: viridisLite
======================
Welcome to heatmaply version 1.1.1
Type citation('heatmaply') for how to cite the package.
Type ?heatmaply for the main documentation.
The github page is: https://github.com/talgalili/heatmaply/
Please submit your suggestions and bug-reports at: https://github.com/talgalili/heatmaply/issues
Or contact: <tal.galili@gmail.com>
======================
Attaching package: 'heatmaply'
The following object is masked from 'package:BiocGenerics':
normalize
Attaching package: 'pander'
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output file: metaseqr2_report.knit.md
"C:/PROGRA~1/Pandoc/pandoc" +RTS -K512m -RTS metaseqr2_report.utf8.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output pandoc25e07f9763b7.html --lua-filter "C:\Users\biocbuild\bbs-3.11-bioc\R\library\rmarkdown\rmarkdown\lua\pagebreak.lua" --lua-filter "C:\Users\biocbuild\bbs-3.11-bioc\R\library\rmarkdown\rmarkdown\lua\latex-div.lua" --email-obfuscation none +RTS -K2048m -RTS --variable "lightbox:true" --variable "thumbnails:true" --variable "gallery:true" --variable "cards:true" --standalone --section-divs --table-of-contents --toc-depth 1 --template "C:\Users\biocbuild\bbs-3.11-bioc\R\library\rmdformats\templates\material\material.html" --highlight-style kate --variable "theme:bootstrap" --include-in-header "C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\Rtmp48kNb7\rmarkdown-str25e03fff56b8.html" --mathjax
Output created: C:/Users/biocbuild/bbs-3.11-bioc/tmpdir/Rtmp48kNb7/index.html
2020-10-17 06:04:29: Data processing finished!
Total processing time: 12 seconds
RUNIT TEST PROTOCOL -- Sat Oct 17 06:04:29 2020
***********************************************
Number of test functions: 2
Number of errors: 0
Number of failures: 0
1 Test Suite :
metaseqR2 RUnit Tests - 2 test functions, 0 errors, 0 failures
Number of test functions: 2
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
29.57 4.00 43.57
|
metaseqR2.Rcheck/tests_x64/runTests.Rout
R version 4.0.3 (2020-10-10) -- "Bunny-Wunnies Freak Out"
Copyright (C) 2020 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("metaseqR2")
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, 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, which.max, which.min
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
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
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, rowsum
Attaching package: 'limma'
The following object is masked from 'package:DESeq2':
plotMA
The following object is masked from 'package:BiocGenerics':
plotMA
locfit 1.5-9.4 2020-03-24
Attaching package: 'metaseqR2'
The following object is masked from 'package:limma':
readTargets
Downsampling counts...
Estimating initial dispersion population...
Estimating dispersions using log-likelihood...
Running simulations... This procedure requires time... Please wait...Using Ensembl host http://may2012.archive.ensembl.org
2020-10-17 06:04:58: Data processing started...
Read counts file: imported custom data frame
Conditions: G1, G2
Samples to include: G1_rep1, G1_rep2, G1_rep3, G2_rep1, G2_rep2, G2_rep3
Samples to exclude: none
Requested contrasts: G1_vs_G2
Annotation: embedded
Organism: mm9
Reference source: ensembl
Count type: gene
Analysis preset: all_basic
Transcriptional level: gene
Exon filters: none applied
Gene filters: none applied
Filter application: postnorm
Normalization algorithm: edaseq
Normalization arguments:
within.which: loess
between.which: full
Statistical algorithm: edger, limma
Statistical arguments:
edger: classic, 5, 10, movingave, NULL, grid, 11, c(-6, 6), NULL, CoxReid, 10000, NULL, auto, NULL, NULL, NULL, NULL, 0.125, NULL, auto, chisq, TRUE, FALSE, c(0.05, 0.1)
limma: none
Meta-analysis method: simes
Multiple testing correction: BH
Logarithmic transformation offset: 1
Analysis preset: all_basic
Quality control plots:
Figure format: png
Output directory: C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\RtmpaIZLnS
Output data: annotation, p_value, adj_p_value, meta_p_value, adj_meta_p_value, fold_change
Output scale(s): natural, log2
Output values: normalized
Loading gene annotation...
Saving gene model to C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\RtmpaIZLnS/data/gene_model.RData
Removing genes with zero counts in all samples...
Normalizing with: edaseq
Running statistical tests with: edger
Contrast: G1_vs_G2
Running statistical tests with: limma
Contrast: G1_vs_G2
Performing meta-analysis with simes
Building output files...
Contrast: G1_vs_G2
Adding non-filtered data...
binding annotation...
binding p-values...
binding FDRs...
binding meta p-values...
binding adjusted meta p-values...
binding natural normalized fold changes...
binding log2 normalized fold changes...
Writing output...
2020-10-17 06:04:58: Data processing finished!
Total processing time: 00 seconds
Estimating AUFC weights... Please wait...
Processing edger
Processing limma
Retrieving edger
Retrieving limma
2020-10-17 06:05:01: Data processing started...
Read counts file: imported custom data frame
Conditions: e14.5, adult_8_weeks
Samples to include: e14.5_1, e14.5_2, a8w_1, a8w_2
Samples to exclude: none
Requested contrasts: adult_8_weeks_vs_e14.5
Library sizes:
e14.5_1: 3102907
e14.5_2: 2067905
a8w_1: 3742059
a8w_2: 4403954
Annotation: embedded
Organism: mm9
Reference source: ensembl
Count type: gene
Analysis preset: medium_basic
Transcriptional level: gene
Exon filters: minActiveExons
minActiveExons:
exonsPerGene: 5
minExons: 2
frac: 0.2
Gene filters: length, avgReads, expression, biotype
length:
length: 500
avgReads:
averagePerBp: 100
quantile: 0.25
expression:
median: TRUE
mean: FALSE
quantile: NA
known: NA
custom: NA
biotype:
pseudogene: FALSE
snRNA: FALSE
protein_coding: FALSE
antisense: FALSE
miRNA: FALSE
lincRNA: FALSE
snoRNA: FALSE
processed_transcript: FALSE
misc_RNA: FALSE
rRNA: TRUE
sense_overlapping: FALSE
sense_intronic: FALSE
polymorphic_pseudogene: FALSE
non_coding: FALSE
three_prime_overlapping_ncrna: FALSE
IG_C_gene: FALSE
IG_J_gene: FALSE
IG_D_gene: FALSE
IG_V_gene: FALSE
ncrna_host: FALSE
Filter application: postnorm
Normalization algorithm: edger
Normalization arguments:
method: TMM
logratioTrim: 0.3
sumTrim: 0.05
doWeighting: TRUE
Acutoff: -1e+10
p: 0.75
Statistical algorithm: edger, limma
Statistical arguments:
edger: classic, 5, 10, movingave, NULL, grid, 11, c(-6, 6), NULL, CoxReid, 10000, NULL, auto, NULL, NULL, NULL, NULL, 0.125, NULL, auto, chisq, TRUE, FALSE, c(0.05, 0.1)
limma: none
Meta-analysis method: simes
Multiple testing correction: BH
p-value threshold: 0.05
Logarithmic transformation offset: 1
Analysis preset: medium_basic
Quality control plots: mds
Figure format: png
Output directory: C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\RtmpaIZLnS
Output data: annotation, p_value, adj_p_value, meta_p_value, adj_meta_p_value, fold_change
Output scale(s): natural, log2
Output values: normalized
Loading gene annotation...
Saving gene model to C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\RtmpaIZLnS/data/gene_model.RData
Removing genes with zero counts in all samples...
Normalizing with: edger
Applying gene filter length...
Threshold below which ignored: 500
Applying gene filter avgReads...
Threshold below which ignored: 0.0659629215631332
Applying gene filter expression...
Threshold below which ignored: 68
Applying gene filter biotype...
Biotypes ignored: rRNA
2106 genes filtered out
1681 genes remain after filtering
Running statistical tests with: edger
Contrast: adult_8_weeks_vs_e14.5
Contrast adult_8_weeks_vs_e14.5: found 906 genes
Running statistical tests with: limma
Contrast: adult_8_weeks_vs_e14.5
Contrast adult_8_weeks_vs_e14.5: found 911 genes
Performing meta-analysis with simes
Building output files...
Contrast: adult_8_weeks_vs_e14.5
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Writing output...
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Creating quality control graphs...
Plotting in png format...
Plotting mds...
Importing mds...
Writing plot database in C:\Users\biocbuild\bbs-3.11-bioc\tmpdir\RtmpaIZLnS/data/reportdb.js
Creating HTML report...
Compressing figures... adding: Users/biocbuild/bbs-3.11-bioc/tmpdir/RtmpaIZLnS/plots/qc/mds.png (deflated 62%)
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processing file: metaseqr2_report.Rmd
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======================
Welcome to heatmaply version 1.1.1
Type citation('heatmaply') for how to cite the package.
Type ?heatmaply for the main documentation.
The github page is: https://github.com/talgalili/heatmaply/
Please submit your suggestions and bug-reports at: https://github.com/talgalili/heatmaply/issues
Or contact: <tal.galili@gmail.com>
======================
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output file: metaseqr2_report.knit.md
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Output created: C:/Users/biocbuild/bbs-3.11-bioc/tmpdir/RtmpaIZLnS/index.html
2020-10-17 06:05:13: Data processing finished!
Total processing time: 11 seconds
RUNIT TEST PROTOCOL -- Sat Oct 17 06:05:13 2020
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Number of test functions: 2
Number of errors: 0
Number of failures: 0
1 Test Suite :
metaseqR2 RUnit Tests - 2 test functions, 0 errors, 0 failures
Number of test functions: 2
Number of errors: 0
Number of failures: 0
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