Back to Multiple platform build/check report for BioC 3.8 |
|
This page was generated on 2019-04-13 11:26:47 -0400 (Sat, 13 Apr 2019).
Package 1503/1649 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||
SRGnet 1.8.0 Isar Nassiri
| malbec1 | Linux (Ubuntu 16.04.6 LTS) / x86_64 | OK | OK | NA | |||||||
tokay1 | Windows Server 2012 R2 Standard / x64 | OK | OK | OK | [ OK ] | |||||||
merida1 | OS X 10.11.6 El Capitan / x86_64 | OK | OK | OK | OK |
Package: SRGnet |
Version: 1.8.0 |
Command: rm -rf SRGnet.buildbin-libdir && mkdir SRGnet.buildbin-libdir && C:\Users\biocbuild\bbs-3.8-bioc\R\bin\R.exe CMD INSTALL --merge-multiarch --build --library=SRGnet.buildbin-libdir SRGnet_1.8.0.tar.gz |
StartedAt: 2019-04-13 07:59:40 -0400 (Sat, 13 Apr 2019) |
EndedAt: 2019-04-13 07:59:57 -0400 (Sat, 13 Apr 2019) |
EllapsedTime: 16.4 seconds |
RetCode: 0 |
Status: OK |
PackageFile: SRGnet_1.8.0.zip |
PackageFileSize: 214.8 KiB |
############################################################################## ############################################################################## ### ### Running command: ### ### rm -rf SRGnet.buildbin-libdir && mkdir SRGnet.buildbin-libdir && C:\Users\biocbuild\bbs-3.8-bioc\R\bin\R.exe CMD INSTALL --merge-multiarch --build --library=SRGnet.buildbin-libdir SRGnet_1.8.0.tar.gz ### ############################################################################## ############################################################################## install for i386 * installing *source* package 'SRGnet' ... ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package 'SRGnet' finding HTML links ... done Differentially_expressed_genes html PLCRG html SRGnet html Transcriptomics html ** building package indices ** installing vignettes ** testing if installed package can be loaded In R CMD INSTALL install for x64 * installing *source* package 'SRGnet' ... ** testing if installed package can be loaded * MD5 sums packaged installation of 'SRGnet' as SRGnet_1.8.0.zip * DONE (SRGnet) In R CMD INSTALL In R CMD INSTALL