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This page was generated on 2023-10-16 11:37:15 -0400 (Mon, 16 Oct 2023).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 22.04.2 LTS)x86_644.3.1 (2023-06-16) -- "Beagle Scouts" 4626
palomino3Windows Server 2022 Datacenterx644.3.1 (2023-06-16 ucrt) -- "Beagle Scouts" 4379
merida1macOS 12.6.4 Montereyx86_644.3.1 (2023-06-16) -- "Beagle Scouts" 4395
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

Package 1259/2230HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
MLP 1.48.0  (landing page)
Tobias Verbeke
Snapshot Date: 2023-10-15 14:00:13 -0400 (Sun, 15 Oct 2023)
git_url: https://git.bioconductor.org/packages/MLP
git_branch: RELEASE_3_17
git_last_commit: d9736b7
git_last_commit_date: 2023-04-25 10:18:25 -0400 (Tue, 25 Apr 2023)
nebbiolo1Linux (Ubuntu 22.04.2 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
palomino3Windows Server 2022 Datacenter / x64  OK    OK    OK    OK  UNNEEDED, same version is already published
merida1macOS 12.6.4 Monterey / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published
kjohnson2macOS 12.6.1 Monterey / arm64see weekly results here

CHECK results for MLP on merida1


To the developers/maintainers of the MLP package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/MLP.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.

raw results


Summary

Package: MLP
Version: 1.48.0
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:MLP.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings MLP_1.48.0.tar.gz
StartedAt: 2023-10-16 04:05:15 -0400 (Mon, 16 Oct 2023)
EndedAt: 2023-10-16 04:21:48 -0400 (Mon, 16 Oct 2023)
EllapsedTime: 992.9 seconds
RetCode: 0
Status:   OK  
CheckDir: MLP.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:MLP.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings MLP_1.48.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.17-bioc/meat/MLP.Rcheck’
* using R version 4.3.1 (2023-06-16)
* using platform: x86_64-apple-darwin20 (64-bit)
* R was compiled by
    Apple clang version 14.0.3 (clang-1403.0.22.14.1)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Monterey 12.6.4
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘MLP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘MLP’ version ‘1.48.0’
* 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 for sufficient/correct file permissions ... OK
* checking whether package ‘MLP’ 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 ... 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 sizes of PDF files under ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                         user system elapsed
getGeneSets           120.615  3.427 209.645
addGeneSetDescription 108.872  9.262 155.885
MLP                    39.982  1.772  54.548
plot.MLP                6.087  0.133   7.829
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘test.KEGG.R’
  Running ‘test.MLP.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: OK


Installation output

MLP.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL MLP
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library’
* installing *source* package ‘MLP’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** 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 (MLP)

Tests output

MLP.Rcheck/tests/test.KEGG.Rout


R version 4.3.1 (2023-06-16) -- "Beagle Scouts"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20 (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(MLP)
> 
> pathPValues <- system.file("exampleFiles", "examplePValues.rda", package = "MLP")
> load(pathPValues)
> 
> pvalues <- examplePValues[seq.int(1000)]
> 
> system.time(geneSet <- getGeneSets(
+ 	species = "Mouse", 
+ 	geneSetSource = "KEGG", 
+ 	entrezIdentifiers = names(pvalues)
+ ))
   user  system elapsed 
 83.606   0.667 144.303 
> 
> set.seed(111)
> mlpOut <- MLP(
+ 	geneSet = geneSet, 
+ 	geneStatistic = pvalues
+ ) 	
> 
> mlpOutWithGeneSetDescr <- addGeneSetDescription(object = mlpOut, geneSetSource = "KEGG")
Warning message:
In addGeneSetDescription(object = mlpOut, geneSetSource = "KEGG") :
  The MLP object already contains a column 'geneSetDescription'
> 
> 	
> 
> proc.time()
   user  system elapsed 
 92.519   1.226 183.328 

MLP.Rcheck/tests/test.MLP.Rout


R version 4.3.1 (2023-06-16) -- "Beagle Scouts"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20 (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.

> require(MLP)	
Loading required package: MLP
> set.seed(479)
> 
> # This is just the expressionset for this experiment.
> 
> pathExampleData <- system.file("exampleFiles", "expressionSetGcrma.rda", package = "MLP")
> load(pathExampleData)
> 
> # Libraries needed
> library(limma)
> library(org.Mm.eg.db) # for mouse
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

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

    plotMA

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, aperm, 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

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: IRanges
Loading required package: S4Vectors

Attaching package: 'S4Vectors'

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

    findMatches

The following objects are masked from 'package:base':

    I, expand.grid, unname


> 
> exprs(expressionSetGcrma)[1:2,]
              2760     2763     2765     2766     2768     2769     2761
100009600 2.371111 2.170060 2.233383 2.180717 2.325886 2.239441 2.297301
100012    2.176163 2.318876 2.419263 2.223307 2.585125 2.346060 2.292061
              2762    2764     2767     2770     2771
100009600 2.409001 2.49458 2.115814 2.371262 2.267459
100012    2.336415 2.47979 2.361981 2.330418 2.520918
> #              2760     2763     2765     2766     2768     2769     2761     2762    2764     2767
> #100009600 2.371111 2.170060 2.233383 2.180717 2.325886 2.239441 2.297301 2.409001 2.49458 2.115814
> #100012    2.176163 2.318876 2.419263 2.223307 2.585125 2.346060 2.292061 2.336415 2.47979 2.361981
> #              2770     2771
> #100009600 2.371262 2.267459
> #100012    2.330418 2.520918
> 
> pData(expressionSetGcrma)
     sample subGroup sampleColor subGroup1
2760      1        1     #FF0000        WT
2763      4        1     #FF0000        WT
2765      6        1     #FF0000        WT
2766      7        1     #FF0000        WT
2768      9        1     #FF0000        WT
2769     10        1     #FF0000        WT
2761      2        2     #0000FF        KO
2762      3        2     #0000FF        KO
2764      5        2     #0000FF        KO
2767      8        2     #0000FF        KO
2770     11        2     #0000FF        KO
2771     12        2     #0000FF        KO
> #     sample subGroup sampleColor
> #2760      1        1     #FF0000
> #2763      4        1     #FF0000
> #2765      6        1     #FF0000
> #2766      7        1     #FF0000
> #2768      9        1     #FF0000
> #2769     10        1     #FF0000
> #2761      2        2     #0000FF
> #2762      3        2     #0000FF
> #2764      5        2     #0000FF
> #2767      8        2     #0000FF
> #2770     11        2     #0000FF
> #2771     12        2     #0000FF
> 
> pData(expressionSetGcrma)$subGroup1 <- ifelse(pData(expressionSetGcrma)$subGroup==1,"WT","KO")
> 
> ###==============================================GENERATING LIMMA p-VALUES=================================
> 
> # boxplot(data.frame(exprs(expressionSetGcrma))
> normDat  <- normalizeQuantiles(exprs(expressionSetGcrma), ties=TRUE)
> subGroup <- pData(expressionSetGcrma)$subGroup
> design <- model.matrix(~ -1 +factor(subGroup ))
> 
> colnames(design) <- c("group1", "group2")
> contrast.matrix <- makeContrasts(group1-group2, levels=design)
> fit <- lmFit(normDat,design)
> fit2 <- contrasts.fit(fit, contrast.matrix)
> fit2 <- eBayes(fit2)
> normDat.p <- fit2$p.value
> 
> normDat.p[1:5]
[1] 0.4328583 0.7448996 0.6088859 0.1845008 0.2312761
> #[1] 0.4328583 0.7448996 0.6088859 0.1845008 0.2312761
> 
> system.time(goGeneSet <- getGeneSets(species = "Mouse", geneSetSource = "GOBP", entrezIdentifiers = featureNames(expressionSetGcrma)))
Loading required namespace: GO.db

   user  system elapsed 
 50.018   5.434  72.709 
> goGeneSet[1:3]
$`GO:0000002`
 [1] "11545"  "12628"  "13804"  "16882"  "17258"  "17527"  "18975"  "19017" 
 [9] "19819"  "20133"  "21975"  "22059"  "23797"  "27393"  "27395"  "27397" 
[17] "50776"  "57813"  "70556"  "72170"  "72962"  "74143"  "74244"  "74528" 
[25] "76781"  "83408"  "83945"  "192287" "216021" "216805" "226153" "230784"
[33] "327762" "381760" "382985" "408022"

$`GO:0000003`
   [1] "11287"     "11352"     "11421"     "11430"     "11434"     "11441"    
   [7] "11470"     "11477"     "11479"     "11480"     "11486"     "11495"    
  [13] "11497"     "11498"     "11499"     "11504"     "11516"     "11517"    
  [19] "11545"     "11546"     "11551"     "11552"     "11553"     "11576"    
  [25] "11600"     "11606"     "11614"     "11622"     "11625"     "11643"    
  [31] "11647"     "11651"     "11674"     "11705"     "11747"     "11757"    
  [37] "11774"     "11789"     "11799"     "11804"     "11819"     "11820"    
  [43] "11835"     "11839"     "11857"     "11865"     "11883"     "11920"    
  [49] "11998"     "12009"     "12018"     "12028"     "12034"     "12041"    
  [55] "12043"     "12048"     "12050"     "12053"     "12124"     "12125"    
  [61] "12142"     "12155"     "12159"     "12160"     "12161"     "12162"    
  [67] "12163"     "12164"     "12166"     "12167"     "12168"     "12173"    
  [73] "12190"     "12215"     "12235"     "12236"     "12237"     "12261"    
  [79] "12266"     "12290"     "12305"     "12310"     "12316"     "12317"    
  [85] "12323"     "12363"     "12366"     "12380"     "12387"     "12394"    
  [91] "12411"     "12416"     "12426"     "12427"     "12442"     "12443"    
  [97] "12447"     "12448"     "12458"     "12461"     "12462"     "12464"    
 [103] "12465"     "12466"     "12468"     "12469"     "12505"     "12527"    
 [109] "12530"     "12531"     "12532"     "12550"     "12566"     "12576"    
 [115] "12577"     "12589"     "12593"     "12608"     "12617"     "12638"    
 [121] "12640"     "12659"     "12704"     "12745"     "12753"     "12767"    
 [127] "12801"     "12804"     "12841"     "12846"     "12877"     "12916"    
 [133] "12918"     "12919"     "12929"     "12946"     "12977"     "13006"    
 [139] "13030"     "13039"     "13046"     "13052"     "13070"     "13075"    
 [145] "13121"     "13123"     "13134"     "13164"     "13166"     "13194"    
 [151] "13205"     "13206"     "13214"     "13363"     "13382"     "13383"    
 [157] "13404"     "13411"     "13435"     "13487"     "13488"     "13491"    
 [163] "13492"     "13498"     "13524"     "13525"     "13526"     "13529"    
 [169] "13614"     "13615"     "13617"     "13618"     "13649"     "13653"    
 [175] "13667"     "13711"     "13731"     "13813"     "13831"     "13852"    
 [181] "13854"     "13856"     "13857"     "13866"     "13870"     "13874"    
 [187] "13875"     "13982"     "13983"     "14011"     "14087"     "14088"    
 [193] "14119"     "14155"     "14160"     "14165"     "14178"     "14179"    
 [199] "14180"     "14183"     "14211"     "14228"     "14238"     "14275"    
 [205] "14276"     "14283"     "14308"     "14309"     "14313"     "14347"    
 [211] "14366"     "14367"     "14402"     "14421"     "14425"     "14431"    
 [217] "14447"     "14453"     "14460"     "14462"     "14463"     "14531"    
 [223] "14536"     "14566"     "14595"     "14598"     "14609"     "14610"    
 [229] "14622"     "14626"     "14632"     "14633"     "14654"     "14658"    
 [235] "14682"     "14705"     "14714"     "14725"     "14748"     "14764"    
 [241] "14766"     "14782"     "14810"     "14815"     "14824"     "14841"    
 [247] "15013"     "15018"     "15078"     "15081"     "15110"     "15182"    
 [253] "15194"     "15204"     "15209"     "15211"     "15212"     "15235"    
 [259] "15247"     "15270"     "15361"     "15364"     "15373"     "15375"    
 [265] "15377"     "15378"     "15387"     "15395"     "15396"     "15398"    
 [271] "15405"     "15408"     "15430"     "15431"     "15433"     "15438"    
 [277] "15446"     "15463"     "15482"     "15484"     "15487"     "15488"    
 [283] "15499"     "15500"     "15502"     "15511"     "15512"     "15567"    
 [289] "15574"     "15894"     "15904"     "16000"     "16001"     "16011"    
 [295] "16147"     "16157"     "16158"     "16173"     "16175"     "16176"    
 [301] "16319"     "16322"     "16323"     "16324"     "16330"     "16336"    
 [307] "16337"     "16365"     "16410"     "16412"     "16416"     "16433"    
 [313] "16449"     "16450"     "16477"     "16532"     "16542"     "16578"    
 [319] "16590"     "16601"     "16650"     "16669"     "16691"     "16777"    
 [325] "16783"     "16833"     "16846"     "16847"     "16848"     "16859"    
 [331] "16866"     "16867"     "16869"     "16875"     "16876"     "16878"    
 [337] "16886"     "16952"     "16970"     "16974"     "17125"     "17128"    
 [343] "17129"     "17149"     "17171"     "17173"     "17191"     "17221"    
 [349] "17235"     "17240"     "17242"     "17256"     "17283"     "17289"    
 [355] "17295"     "17300"     "17304"     "17311"     "17345"     "17350"    
 [361] "17381"     "17390"     "17395"     "17427"     "17450"     "17451"    
 [367] "17535"     "17684"     "17685"     "17687"     "17701"     "17702"    
 [373] "17761"     "17771"     "17776"     "17836"     "17864"     "17886"    
 [379] "17977"     "17978"     "17979"     "18000"     "18004"     "18005"    
 [385] "18011"     "18014"     "18072"     "18095"     "18119"     "18121"    
 [391] "18127"     "18128"     "18142"     "18159"     "18168"     "18211"    
 [397] "18285"     "18286"     "18291"     "18292"     "18387"     "18413"    
 [403] "18417"     "18426"     "18429"     "18430"     "18431"     "18436"    
 [409] "18441"     "18442"     "18472"     "18475"     "18476"     "18504"    
 [415] "18507"     "18514"     "18551"     "18552"     "18555"     "18595"    
 [421] "18606"     "18617"     "18663"     "18667"     "18747"     "18749"    
 [427] "18766"     "18775"     "18776"     "18783"     "18787"     "18791"    
 [433] "18792"     "18793"     "18795"     "18802"     "18811"     "18812"    
 [439] "18814"     "18815"     "18817"     "18821"     "18830"     "18858"    
 [445] "18861"     "18952"     "19014"     "19015"     "19049"     "19052"    
 [451] "19057"     "19059"     "19090"     "19109"     "19110"     "19111"    
 [457] "19112"     "19113"     "19114"     "19116"     "19118"     "19119"    
 [463] "19120"     "19143"     "19156"     "19183"     "19204"     "19211"    
 [469] "19214"     "19215"     "19219"     "19223"     "19225"     "19229"    
 [475] "19242"     "19247"     "19275"     "19288"     "19294"     "19317"    
 [481] "19339"     "19353"     "19355"     "19359"     "19360"     "19361"    
 [487] "19362"     "19364"     "19366"     "19401"     "19411"     "19657"    
 [493] "19662"     "19664"     "19701"     "19725"     "19733"     "19735"    
 [499] "19773"     "19821"     "19886"     "20017"     "20104"     "20112"    
 [505] "20181"     "20182"     "20315"     "20317"     "20319"     "20322"    
 [511] "20346"     "20363"     "20377"     "20397"     "20415"     "20423"    
 [517] "20437"     "20473"     "20474"     "20475"     "20520"     "20535"    
 [523] "20613"     "20655"     "20662"     "20670"     "20671"     "20674"    
 [529] "20675"     "20681"     "20682"     "20683"     "20686"     "20687"    
 [535] "20690"     "20708"     "20719"     "20720"     "20724"     "20729"    
 [541] "20730"     "20733"     "20744"     "20758"     "20779"     "20826"    
 [547] "20843"     "20848"     "20850"     "20851"     "20860"     "20869"    
 [553] "20871"     "20873"     "20878"     "20892"     "20897"     "20899"    
 [559] "20905"     "20910"     "20957"     "20962"     "20997"     "21333"    
 [565] "21334"     "21336"     "21337"     "21338"     "21357"     "21386"    
 [571] "21405"     "21410"     "21412"     "21414"     "21416"     "21454"    
 [577] "21463"     "21645"     "21674"     "21679"     "21744"     "21749"    
 [583] "21803"     "21808"     "21812"     "21821"     "21823"     "21824"    
 [589] "21830"     "21833"     "21834"     "21843"     "21849"     "21857"    
 [595] "21869"     "21887"     "21923"     "21930"     "21945"     "21958"    
 [601] "21959"     "21973"     "21974"     "22022"     "22026"     "22059"    
 [607] "22061"     "22064"     "22065"     "22068"     "22092"     "22114"    
 [613] "22115"     "22127"     "22137"     "22174"     "22187"     "22209"    
 [619] "22210"     "22215"     "22223"     "22249"     "22253"     "22334"    
 [625] "22337"     "22339"     "22353"     "22384"     "22412"     "22415"    
 [631] "22417"     "22418"     "22421"     "22431"     "22441"     "22445"    
 [637] "22446"     "22589"     "22632"     "22635"     "22661"     "22668"    
 [643] "22691"     "22694"     "22696"     "22697"     "22698"     "22701"    
 [649] "22702"     "22762"     "22764"     "22768"     "22786"     "22787"    
 [655] "22788"     "22789"     "23793"     "23885"     "23920"     "23950"    
 [661] "23967"     "23968"     "23980"     "23991"     "23997"     "24061"    
 [667] "24084"     "24086"     "24127"     "24128"     "26357"     "26362"    
 [673] "26370"     "26384"     "26407"     "26413"     "26417"     "26423"    
 [679] "26428"     "26434"     "26437"     "26564"     "26565"     "26900"    
 [685] "26909"     "26910"     "26920"     "26927"     "26934"     "26942"    
 [691] "26946"     "26972"     "27061"     "27083"     "27084"     "27206"    
 [697] "27222"     "27354"     "27356"     "27372"     "27386"     "28036"    
 [703] "28078"     "28105"     "28114"     "28135"     "29812"     "29871"    
 [709] "29876"     "30054"     "30841"     "30939"     "30953"     "30959"    
 [715] "50501"     "50505"     "50525"     "50722"     "50790"     "50796"    
 [721] "50878"     "50915"     "51789"     "51792"     "51885"     "51938"    
 [727] "52020"     "52028"     "52679"     "52683"     "52864"     "53381"    
 [733] "53419"     "53422"     "53424"     "53604"     "53614"     "53814"    
 [739] "53857"     "53878"     "53885"     "53897"     "53975"     "54003"    
 [745] "54004"     "54137"     "54140"     "54204"     "54352"     "54383"    
 [751] "54388"     "54418"     "54427"     "54486"     "54524"     "54562"    
 [757] "54608"     "54611"     "54650"     "54725"     "55925"     "55978"    
 [763] "55993"     "55994"     "56092"     "56094"     "56218"     "56220"    
 [769] "56223"     "56228"     "56274"     "56291"     "56296"     "56312"    
 [775] "56334"     "56335"     "56371"     "56436"     "56449"     "56484"    
 [781] "56503"     "56523"     "56526"     "56622"     "56635"     "56693"    
 [787] "56710"     "56711"     "56717"     "56739"     "56746"     "57256"    
 [793] "57264"     "57320"     "57746"     "57749"     "57815"     "57816"    
 [799] "57908"     "58186"     "58226"     "58230"     "58231"     "58864"    
 [805] "58991"     "58998"     "59030"     "59083"     "60530"     "60534"    
 [811] "60597"     "60611"     "63872"     "64009"     "64335"     "64383"    
 [817] "64707"     "64931"     "65247"     "65971"     "66193"     "66197"    
 [823] "66313"     "66392"     "66573"     "66634"     "66654"     "66707"    
 [829] "66712"     "66713"     "66720"     "66722"     "66756"     "66793"    
 [835] "66826"     "66977"     "66983"     "67000"     "67010"     "67027"    
 [841] "67030"     "67031"     "67042"     "67052"     "67077"     "67121"    
 [847] "67141"     "67181"     "67204"     "67231"     "67310"     "67331"    
 [853] "67343"     "67345"     "67374"     "67378"     "67402"     "67504"    
 [859] "67505"     "67555"     "67561"     "67645"     "67652"     "67690"    
 [865] "67713"     "67753"     "67869"     "67909"     "67946"     "67968"    
 [871] "67971"     "67981"     "68107"     "68166"     "68170"     "68231"    
 [877] "68275"     "68298"     "68328"     "68549"     "68708"     "68767"    
 [883] "68911"     "68922"     "68981"     "69032"     "69064"     "69260"    
 [889] "69286"     "69287"     "69306"     "69307"     "69310"     "69329"    
 [895] "69363"     "69376"     "69444"     "69481"     "69538"     "69546"    
 [901] "69707"     "69716"     "69852"     "69865"     "69928"     "69940"    
 [907] "69982"     "70069"     "70093"     "70099"     "70231"     "70235"    
 [913] "70248"     "70375"     "70441"     "70465"     "70503"     "70691"    
 [919] "70772"     "70840"     "70862"     "70873"     "70891"     "70897"    
 [925] "70918"     "70956"     "70977"     "71037"     "71062"     "71078"    
 [931] "71089"     "71099"     "71132"     "71175"     "71233"     "71241"    
 [937] "71242"     "71371"     "71567"     "71709"     "71711"     "71765"    
 [943] "71830"     "71836"     "71840"     "71841"     "71846"     "71860"    
 [949] "71870"     "71904"     "71914"     "71950"     "71981"     "72103"    
 [955] "72135"     "72148"     "72162"     "72236"     "72415"     "72504"    
 [961] "72508"     "72568"     "72634"     "72787"     "72891"     "72938"    
 [967] "73242"     "73244"     "73296"     "73316"     "73329"     "73333"    
 [973] "73336"     "73412"     "73456"     "73463"     "73472"     "73542"    
 [979] "73616"     "73673"     "73677"     "73679"     "73721"     "73862"    
 [985] "74041"     "74052"     "74068"     "74075"     "74090"     "74117"    
 [991] "74174"     "74188"     "74222"     "74229"     "74237"     "74267"    
 [997] "74286"     "74288"     "74297"     "74309"     "74354"     "74360"    
[1003] "74362"     "74369"     "74377"     "74383"     "74386"     "74401"    
[1009] "74434"     "74446"     "74450"     "74453"     "74468"     "74469"    
[1015] "74666"     "74691"     "74708"     "74711"     "74716"     "74717"    
[1021] "74754"     "74847"     "74927"     "75002"     "75019"     "75033"    
[1027] "75140"     "75178"     "75202"     "75388"     "75410"     "75437"    
[1033] "75459"     "75469"     "75514"     "75533"     "75545"     "75571"    
[1039] "75596"     "75605"     "75622"     "75641"     "75642"     "75646"    
[1045] "75753"     "75773"     "75801"     "75826"     "75828"     "75909"    
[1051] "76378"     "76407"     "76421"     "76426"     "76486"     "76499"    
[1057] "76573"     "76606"     "76718"     "76800"     "76850"     "76856"    
[1063] "76858"     "76867"     "76915"     "76925"     "76943"     "77031"    
[1069] "77053"     "77128"     "77254"     "77424"     "77485"     "77505"    
[1075] "77595"     "77609"     "77684"     "77772"     "77963"     "77980"    
[1081] "78081"     "78118"     "78124"     "78174"     "78284"     "78619"    
[1087] "78634"     "78658"     "78784"     "78801"     "78803"     "78925"    
[1093] "80297"     "80517"     "80838"     "80884"     "80912"     "81018"    
[1099] "81601"     "83434"     "83456"     "83557"     "83558"     "83560"    
[1105] "83561"     "83964"     "83984"     "93670"     "93684"     "93730"    
[1111] "93736"     "93757"     "93759"     "93760"     "93837"     "93960"    
[1117] "94109"     "94221"     "94224"     "94244"     "94246"     "97086"    
[1123] "97165"     "98558"     "98711"     "99412"     "99929"     "100121"   
[1129] "100155"    "100317"    "100535"    "100986"    "101100"    "101187"   
[1135] "101476"    "102774"    "102991"    "103468"    "103554"    "103583"   
[1141] "103733"    "103768"    "104111"    "104156"    "104263"    "104271"   
[1147] "104346"    "104362"    "104601"    "104799"    "104806"    "105349"   
[1153] "105511"    "105988"    "106389"    "106757"    "107515"    "107626"   
[1159] "107656"    "107849"    "107970"    "107995"    "108829"    "108961"   
[1165] "109685"    "109689"    "109785"    "110012"    "110082"    "110084"   
[1171] "110147"    "110355"    "110542"    "110957"    "110958"    "112418"   
[1177] "114602"    "114606"    "114642"    "114661"    "114662"    "114714"   
[1183] "114875"    "116837"    "116914"    "140498"    "140557"    "170731"   
[1189] "171285"    "171429"    "171506"    "192119"    "192176"    "192195"   
[1195] "192199"    "192236"    "192897"    "193322"    "193838"    "194908"   
[1201] "195434"    "207304"    "207352"    "207607"    "207686"    "208144"   
[1207] "208169"    "208188"    "208727"    "208908"    "209011"    "209091"   
[1213] "210510"    "210529"    "210554"    "211484"    "211651"    "212517"   
[1219] "212670"    "212937"    "213081"    "213236"    "213272"    "213389"   
[1225] "213402"    "213541"    "213742"    "214105"    "214290"    "214321"   
[1231] "214384"    "214575"    "214593"    "214901"    "215028"    "215029"   
[1237] "215095"    "215387"    "215772"    "215854"    "216350"    "216725"   
[1243] "216869"    "217039"    "217116"    "217216"    "217341"    "217715"   
[1249] "217716"    "218214"    "218454"    "219038"    "223593"    "223697"   
[1255] "223825"    "223921"    "223989"    "224045"    "224171"    "224661"   
[1261] "224727"    "224826"    "224902"    "225182"    "225497"    "225865"   
[1267] "225922"    "226049"    "226090"    "226162"    "226265"    "226356"   
[1273] "227210"    "227394"    "227615"    "227631"    "227707"    "227736"   
[1279] "228421"    "228980"    "229096"    "229227"    "229357"    "229841"   
[1285] "229906"    "230103"    "230126"    "230594"    "230700"    "230861"   
[1291] "230899"    "231051"    "231386"    "231600"    "231633"    "231832"   
[1297] "231912"    "232174"    "232223"    "232286"    "232345"    "232664"   
[1303] "232816"    "232943"    "233276"    "234396"    "234857"    "235072"   
[1309] "235320"    "235330"    "235345"    "235380"    "235559"    "235628"   
[1315] "236266"    "236899"    "237336"    "237625"    "237911"    "237958"   
[1321] "238055"    "238057"    "238217"    "238247"    "238330"    "238405"   
[1327] "238406"    "239083"    "239528"    "239591"    "239731"    "240023"   
[1333] "240069"    "240255"    "240590"    "240697"    "240725"    "240899"   
[1339] "241116"    "241296"    "241516"    "241624"    "242202"    "242523"   
[1345] "242620"    "243862"    "243866"    "243897"    "244199"    "244486"   
[1351] "244495"    "244551"    "244891"    "245000"    "245865"    "245884"   
[1357] "245944"    "246747"    "252828"    "252866"    "252868"    "252967"   
[1363] "252973"    "258658"    "259279"    "260305"    "263876"    "264134"   
[1369] "268396"    "268420"    "268465"    "268491"    "268591"    "268697"   
[1375] "268755"    "268860"    "268903"    "269254"    "269275"    "269610"   
[1381] "269682"    "269701"    "270624"    "271036"    "271127"    "271564"   
[1387] "271639"    "272643"    "276920"    "278203"    "278240"    "280287"   
[1393] "280667"    "280668"    "317653"    "317755"    "319177"    "319448"   
[1399] "319953"    "320022"    "320214"    "320244"    "320256"    "320277"   
[1405] "320406"    "320558"    "320752"    "320790"    "320869"    "327826"   
[1411] "328019"    "328365"    "328401"    "328440"    "328580"    "328845"   
[1417] "329557"    "329702"    "329954"    "330149"    "330188"    "330277"   
[1423] "330319"    "330409"    "330470"    "330830"    "330890"    "331046"   
[1429] "331416"    "331491"    "331537"    "332110"    "332397"    "333307"   
[1435] "333564"    "353188"    "353320"    "353342"    "378430"    "378462"   
[1441] "380654"    "380684"    "380702"    "380709"    "380773"    "380855"   
[1447] "380994"    "381022"    "381157"    "381196"    "381218"    "381229"   
[1453] "381290"    "381350"    "381404"    "381489"    "381598"    "381677"   
[1459] "381678"    "381759"    "382007"    "382077"    "382113"    "382217"   
[1465] "382275"    "382277"    "382301"    "382562"    "383491"    "384619"   
[1471] "384806"    "384813"    "387139"    "387140"    "387153"    "387156"   
[1477] "387161"    "387162"    "387177"    "387178"    "387179"    "387188"   
[1483] "387198"    "387218"    "387244"    "387245"    "387246"    "387247"   
[1489] "399599"    "433700"    "434438"    "434555"    "434768"    "434784"   
[1495] "434794"    "442829"    "544752"    "545156"    "545391"    "545824"   
[1501] "546055"    "546118"    "546272"    "546282"    "546886"    "574428"   
[1507] "574437"    "574438"    "619517"    "619697"    "619991"    "622480"   
[1513] "622554"    "623131"    "623474"    "625249"    "625662"    "627081"   
[1519] "628438"    "631584"    "636104"    "637277"    "664829"    "665270"   
[1525] "665780"    "666173"    "666317"    "666528"    "668110"    "668929"   
[1531] "671232"    "671564"    "723849"    "723868"    "723886"    "723932"   
[1537] "723939"    "723955"    "723956"    "723962"    "723965"    "723966"   
[1543] "735262"    "735309"    "751535"    "100009600" "100038417" "100038489"
[1549] "100038977" "100039030" "100039065" "100039120" "100039842" "100039905"
[1555] "100040608" "100040894" "100042109" "100042175" "100042922" "100042929"
[1561] "100042931" "100042939" "100042943" "100042944" "100042946" "100043216"
[1567] "100048534" "100049545" "100049546" "100049548" "100113365" "100124460"
[1573] "100124479" "100124480" "100190765" "100270744" "100503361" "100504207"
[1579] "100504642" "100861637" "100861881" "101055773" "101056116" "101056210"
[1585] "102631559" "102632837" "102633564" "102636501" "102638101" "102638793"
[1591] "102639094" "102639490" "102639895" "105243794" "105247282" "108168511"
[1597] "108168530" "108168552" "108168557" "108168582" "108168594" "113523646"
[1603] "118451630"

$`GO:0000012`
 [1] "11545"  "14211"  "21958"  "22064"  "22594"  "66408"  "70099"  "71991" 
 [9] "72103"  "93759"  "104884" "319583" "319955"

> # output changes with annotation version !
> 
> y <- normDat.p[,1]
> names(y) <- featureNames(expressionSetGcrma)
> 
> y[1:10]
100009600    100012    100017    100019 100034251 100036521 100037258 100037278 
0.4328583 0.7448996 0.6088859 0.1845008 0.2312761 0.7865153 0.7772888 0.1037431 
100038570 100038635 
0.1368744 0.3272610 
> # 100009600    100012    100017    100019 100034251 100036521 100037258 100037278 
> # 0.4328583 0.7448996 0.6088859 0.1845008 0.2312761 0.7865153 0.7772888 0.1037431 
> # 100038570 100038635 
> # 0.1368744 0.3272610 
> 
> mlpObject <- MLP(geneSet = goGeneSet, geneStatistic = y, minGenes = 5, maxGenes = 100, rowPermutations = TRUE, 
+     nPermutations = 6, smoothPValues = TRUE)
> 
> 
> 
> mlpObject[1:10, ]
           totalGeneSetSize testedGeneSetSize geneSetStatistic geneSetPValue
GO:0019886               21                18        1.0842469  0.0001162057
GO:0002495               25                22        0.9910381  0.0002373259
GO:0002504               27                24        0.9261644  0.0005627878
GO:1905146               19                19        0.9741769  0.0006361075
GO:0002478               29                26        0.8824480  0.0009481949
GO:0007039               21                21        0.9120835  0.0012384292
GO:0048524               69                60        0.7013955  0.0014377541
GO:1900424               22                20        0.9063168  0.0016220339
GO:0010813                5                 5        1.3587164  0.0016343746
GO:0019884               36                31        0.8074586  0.0019627554
                                                                                  geneSetDescription
GO:0019886         antigen processing and presentation of exogenous peptide antigen via MHC class II
GO:0002495                   antigen processing and presentation of peptide antigen via MHC class II
GO:0002504 antigen processing and presentation of peptide or polysaccharide antigen via MHC class II
GO:1905146                                                       lysosomal protein catabolic process
GO:0002478                          antigen processing and presentation of exogenous peptide antigen
GO:0007039                                                  protein catabolic process in the vacuole
GO:0048524                                                      positive regulation of viral process
GO:1900424                                               regulation of defense response to bacterium
GO:0010813                                                            neuropeptide catabolic process
GO:0019884                                  antigen processing and presentation of exogenous antigen
> # output changes with annotation version !
> 
> plotGOgraph(object = mlpObject, main = "test of main")
Loading required namespace: Rgraphviz
Loading required namespace: GOstats
Loading required namespace: gplots
> 
> pdf(file = "test10.pdf", width = 10, height = 10)
> # x11(width = 10, height = 10)
> plot(mlpObject, nRow = 10) # by default:  type = "barplot"
> dev.off()
pdf 
  2 
> 
> unlink("test10.pdf")
> 
> if (FALSE){
+   pdf(file = "test5.pdf", width =10, height = 10)
+   mlpBarplot(object = mlpObject, geneSetSource = "GOBP", nRow = 10, descriptionLength = 5)
+   dev.off()
+   
+   unlink("test5.pdf")
+   
+   pdf(file = "test100.pdf", width =10, height = 20)
+   mlpBarplot(object = mlpObject, geneSetSource = "GOBP", nRow = 10, descriptionLength = 100)
+   dev.off()
+   
+   unlink("test100.pdf")
+ }
> 
> plot(mlpObject, type = "quantileCurves")
> plot(mlpObject, type = "GOgraph")
> 
> proc.time()
   user  system elapsed 
 95.941   9.161 139.676 

Example timings

MLP.Rcheck/MLP-Ex.timings

nameusersystemelapsed
MLP39.982 1.77254.548
addGeneSetDescription108.872 9.262155.885
getGeneSets120.615 3.427209.645
mlpBarplot0.0310.0040.036
plot.MLP6.0870.1337.829
plotGOgraph1.1700.0251.512
plotGeneSetSignificance1.2320.0521.672