Back to Multiple platform build/check report for BioC 3.20: simplified long |
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This page was generated on 2024-11-05 12:07 -0500 (Tue, 05 Nov 2024).
Hostname | OS | Arch (*) | R version | Installed pkgs |
---|---|---|---|---|
teran2 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4503 |
nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4763 |
palomino8 | Windows Server 2022 Datacenter | x64 | 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life" | 4506 |
lconway | macOS 12.7.1 Monterey | x86_64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4539 |
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) | aarch64 | 4.4.1 (2024-06-14) -- "Race for Your Life" | 4493 |
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 1161/2289 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
mastR 1.6.0 (landing page) Jinjin Chen
| teran2 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | OK | |||||||||
nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | OK | ||||||||||
palomino8 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | |||||||||
lconway | macOS 12.7.1 Monterey / x86_64 | OK | OK | OK | OK | |||||||||
kunpeng2 | Linux (openEuler 22.03 LTS-SP1) / aarch64 | OK | OK | OK | ||||||||||
To the developers/maintainers of the mastR package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/mastR.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. |
Package: mastR |
Version: 1.6.0 |
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:mastR.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings mastR_1.6.0.tar.gz |
StartedAt: 2024-11-05 00:18:09 -0500 (Tue, 05 Nov 2024) |
EndedAt: 2024-11-05 00:30:20 -0500 (Tue, 05 Nov 2024) |
EllapsedTime: 731.8 seconds |
RetCode: 0 |
Status: OK |
CheckDir: mastR.Rcheck |
Warnings: 0 |
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:mastR.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings mastR_1.6.0.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/Users/biocbuild/bbs-3.20-bioc/meat/mastR.Rcheck’ * using R version 4.4.1 (2024-06-14) * using platform: x86_64-apple-darwin20 * R was compiled by Apple clang version 14.0.0 (clang-1400.0.29.202) GNU Fortran (GCC) 12.2.0 * running under: macOS Monterey 12.7.6 * using session charset: UTF-8 * using option ‘--no-vignettes’ * checking for file ‘mastR/DESCRIPTION’ ... OK * this is package ‘mastR’ version ‘1.6.0’ * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ...Warning: unable to access index for repository https://CRAN.R-project.org/src/contrib: cannot open URL 'https://CRAN.R-project.org/src/contrib/PACKAGES' 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 ‘mastR’ 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 code 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 contents of ‘data’ directory ... OK * checking data for non-ASCII characters ... OK * checking data for ASCII and uncompressed saves ... OK * checking files in ‘vignettes’ ... OK * checking examples ... OK Examples with CPU (user + system) or elapsed time > 5s user system elapsed plot_diagnostics 7.083 0.861 7.963 sig_gseaplot 6.906 0.926 7.617 get_panglao_sig 3.758 0.131 15.803 * checking for unstated dependencies in ‘tests’ ... OK * checking tests ... Running ‘testthat.R’ OK * checking for unstated dependencies in vignettes ... OK * checking package vignettes ... OK * checking running R code from vignettes ... SKIPPED * checking re-building of vignette outputs ... SKIPPED * checking PDF version of manual ... OK * DONE Status: OK
mastR.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL mastR ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/library’ * installing *source* package ‘mastR’ ... ** using staged installation ** R ** data ** 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 (mastR)
mastR.Rcheck/tests/testthat.Rout
R version 4.4.1 (2024-06-14) -- "Race for Your Life" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-apple-darwin20 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. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(mastR) > > test_check("mastR") NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 2787 3348 3847 2869 1903 NotSig 2593 5434 10908 43672 45202 Up 44665 41263 35290 3504 2940 NK-Others Down 90 NotSig 49003 Up 952 NK-Others Down 29581 NotSig 17543 Up 2921 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 2787 3348 3847 2869 1903 NotSig 2593 5434 10908 43672 45202 Up 44665 41263 35290 3504 2940 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 2787 3348 3847 2869 1903 NotSig 2593 5434 10908 43672 45202 Up 44665 41263 35290 3504 2940 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4011 3946 3145 2696 2154 NotSig 1489 2688 4420 4995 6192 Up 4935 3801 2870 2744 2089 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4011 3946 3145 2696 2154 NotSig 1489 2688 4420 4995 6192 Up 4935 3801 2870 2744 2089 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4011 3946 3145 2696 2154 NotSig 1489 2688 4420 4995 6192 Up 4935 3801 2870 2744 2089 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4011 3946 3145 2696 2154 NotSig 1489 2688 4420 4995 6192 Up 4935 3801 2870 2744 2089 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4011 3946 3145 2696 2154 NotSig 1489 2688 4420 4995 6192 Up 4935 3801 2870 2744 2089 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4011 3946 3145 2696 2154 NotSig 1489 2688 4420 4995 6192 Up 4935 3801 2870 2744 2089 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 3056 2843 2174 1824 1444 NotSig 1246 2669 4189 4576 5527 Up 3926 2716 1865 1828 1257 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 3629 3510 2668 2189 1728 NotSig 1957 3500 5403 5947 7039 Up 4714 3290 2229 2164 1533 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4076 4049 3299 2894 2356 NotSig 1344 2476 4064 4565 5764 Up 4991 3886 3048 2952 2291 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns All samples in sig_data are used! All samples in bg_data are used! 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns see ?depmap and browseVignettes('depmap') for documentation loading from cache see ?depmap and browseVignettes('depmap') for documentation loading from cache 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4010 3945 3146 2693 2153 NotSig 1475 2678 4409 4984 6182 Up 4930 3792 2860 2738 2080 'select()' returned 1:many mapping between keys and columns using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4010 3945 3146 2693 2153 NotSig 1475 2678 4409 4984 6182 Up 4930 3792 2860 2738 2080 'select()' returned 1:many mapping between keys and columns using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4010 3945 3146 2693 2153 NotSig 1475 2678 4409 4984 6182 Up 4930 3792 2860 2738 2080 'select()' returned 1:many mapping between keys and columns using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4010 3945 3146 2693 2153 NotSig 1475 2678 4409 4984 6182 Up 4930 3792 2860 2738 2080 'select()' returned 1:many mapping between keys and columns using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4011 3944 3145 2695 2152 NotSig 1483 2684 4417 4990 6187 Up 4925 3791 2857 2734 2080 'select()' returned 1:many mapping between keys and columns using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4011 3944 3145 2695 2152 NotSig 1483 2684 4417 4990 6187 Up 4925 3791 2857 2734 2080 'select()' returned 1:many mapping between keys and columns using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4010 3945 3146 2693 2153 NotSig 1475 2678 4409 4984 6182 Up 4930 3792 2860 2738 2080 'select()' returned 1:many mapping between keys and columns using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... using 'fgsea' for GSEA analysis, please cite Korotkevich et al (2019). preparing geneSet collections... GSEA analysis... leading edge analysis... done... 'select()' returned 1:many mapping between keys and columns Gene KIR2DL2 is not in data. Gene KIR2DL5A is not in data. Gene KIR2DS2 is not in data. Gene KIR2DS5 is not in data. Gene KLRA1P is not in data. Gene LOC653757 is not in data. Gene MGC24103 is not in data. Gene TRDC is not in data. Gene CCL4 is not in data. Gene CCL5 is not in data. The automatically generated colors map from the 1^st and 99^th of the values in the matrix. There are outliers in the matrix whose patterns might be hidden by this color mapping. You can manually set the color to `col` argument. Use `suppressMessages()` to turn off this message. 'select()' returned 1:many mapping between keys and columns Gene CCL4 is not in data. Gene CCL5 is not in data. The automatically generated colors map from the 1^st and 99^th of the values in the matrix. There are outliers in the matrix whose patterns might be hidden by this color mapping. You can manually set the color to `col` argument. Use `suppressMessages()` to turn off this message. 'select()' returned 1:many mapping between keys and columns Gene CCL4 is not in data. Gene CCL5 is not in data. The automatically generated colors map from the 1^st and 99^th of the values in the matrix. There are outliers in the matrix whose patterns might be hidden by this color mapping. You can manually set the color to `col` argument. Use `suppressMessages()` to turn off this message. 'select()' returned 1:many mapping between keys and columns Gene CCL4 is not in data. Gene CCL5 is not in data. The automatically generated colors map from the 1^st and 99^th of the values in the matrix. There are outliers in the matrix whose patterns might be hidden by this color mapping. You can manually set the color to `col` argument. Use `suppressMessages()` to turn off this message. 'select()' returned 1:many mapping between keys and columns Gene CCL4 is not in data. Gene CCL5 is not in data. The automatically generated colors map from the 1^st and 99^th of the values in the matrix. There are outliers in the matrix whose patterns might be hidden by this color mapping. You can manually set the color to `col` argument. Use `suppressMessages()` to turn off this message. 'select()' returned 1:many mapping between keys and columns Gene KIR2DL2 is not in data. Gene KIR2DL5A is not in data. Gene KIR2DS2 is not in data. Gene KIR2DS5 is not in data. Gene KLRA1P is not in data. Gene LOC653757 is not in data. Gene MGC24103 is not in data. Gene TRDC is not in data. Gene CCL4 is not in data. Gene CCL5 is not in data. The automatically generated colors map from the 1^st and 99^th of the values in the matrix. There are outliers in the matrix whose patterns might be hidden by this color mapping. You can manually set the color to `col` argument. Use `suppressMessages()` to turn off this message. 'select()' returned 1:many mapping between keys and columns Gene CCL4 is not in data. Gene CCL5 is not in data. The automatically generated colors map from the 1^st and 99^th of the values in the matrix. There are outliers in the matrix whose patterns might be hidden by this color mapping. You can manually set the color to `col` argument. Use `suppressMessages()` to turn off this message. 'select()' returned 1:many mapping between keys and columns Gene KIR2DL2 is not in data. Gene KIR2DL5A is not in data. Gene KIR2DS2 is not in data. Gene KIR2DS5 is not in data. Gene KLRA1P is not in data. Gene LOC653757 is not in data. Gene MGC24103 is not in data. Gene TRDC is not in data. Gene CCL4 is not in data. Gene CCL5 is not in data. The automatically generated colors map from the 1^st and 99^th of the values in the matrix. There are outliers in the matrix whose patterns might be hidden by this color mapping. You can manually set the color to `col` argument. Use `suppressMessages()` to turn off this message. 'select()' returned 1:many mapping between keys and columns Gene CCL4 is not in data. Gene CCL5 is not in data. The automatically generated colors map from the 1^st and 99^th of the values in the matrix. There are outliers in the matrix whose patterns might be hidden by this color mapping. You can manually set the color to `col` argument. Use `suppressMessages()` to turn off this message. 'select()' returned 1:many mapping between keys and columns Gene CCL4 is not in data. Gene CCL5 is not in data. 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns 'select()' returned 1:many mapping between keys and columns NK-Neutrophils NK-Monocytes NK-B.cells NK-CD4 NK-CD8 Down 4009 3944 3146 2694 2153 NotSig 1476 2678 4405 4985 6183 Up 4926 3789 2860 2732 2075 [ FAIL 0 | WARN 28 | SKIP 0 | PASS 114 ] [ FAIL 0 | WARN 28 | SKIP 0 | PASS 114 ] > > proc.time() user system elapsed 191.985 15.158 223.760
mastR.Rcheck/mastR-Ex.timings
name | user | system | elapsed | |
ccle_2_wide | 0.117 | 0.012 | 0.128 | |
de_analysis | 2.017 | 0.102 | 2.124 | |
filter_subset_sig | 2.819 | 0.162 | 2.985 | |
get_de_table | 1.354 | 0.097 | 1.453 | |
get_degs | 1.997 | 0.139 | 2.139 | |
get_gsc_sig | 0.012 | 0.003 | 0.015 | |
get_lm_sig | 0.010 | 0.007 | 0.017 | |
get_panglao_sig | 3.758 | 0.131 | 15.803 | |
gls2gsc | 0.007 | 0.003 | 0.009 | |
gsc_plot | 0.627 | 0.055 | 0.684 | |
list_panglao_organs | 0.043 | 0.010 | 0.454 | |
list_panglao_types | 0.048 | 0.006 | 1.258 | |
merge_markers | 0.015 | 0.006 | 0.021 | |
pca_matrix_plot | 1.666 | 0.032 | 1.703 | |
plot_diagnostics | 7.083 | 0.861 | 7.963 | |
plot_mean_var | 1.561 | 0.076 | 1.641 | |
process_data | 1.212 | 0.073 | 1.287 | |
pseudo_sample_list | 0.095 | 0.001 | 0.095 | |
pseudo_samples | 0.032 | 0.003 | 0.035 | |
remove_bg_exp | 0.738 | 0.022 | 0.760 | |
remove_bg_exp_mat | 0.772 | 0.056 | 0.829 | |
select_sig | 1.354 | 0.095 | 1.452 | |
sig_boxplot | 0.760 | 0.059 | 0.821 | |
sig_gseaplot | 6.906 | 0.926 | 7.617 | |
sig_heatmap | 2.000 | 0.223 | 2.228 | |
sig_rankdensity_plot | 1.234 | 0.044 | 1.281 | |
sig_scatter_plot | 1.256 | 0.080 | 1.339 | |