Hello, I am running R on a server that several people share. Previously we all had separate libraries for R. I have set up R so everyone on the server shares the same library and I downloaded the latest version of R and installed it on the main drive of our server in the "Program Files" folder (obvious enough).
I changed the Environmental Variables in the advanced system setting so R_LIBS is C:\\RLIBRARY and restarted the server. The commands : >.libPaths() [1] "C:\\RLIBRARY" "C:/PROGRA~1/R/R-211~1.0/library" > .Library [1] "C:/PROGRA~1/R/R-211~1.0/library" When I try to run several packages it says It can not load them (although many packages do work). So I tried to install the packages again (I deleted the old ones, downloaded a zip file of the new ones and this is what happened : > library(Hmisc) Error in library.dynam(lib, package, package.lib) : shared library 'cluster' not found Error: package/namespace load failed for 'Hmisc' utils:::menuInstallPkgs() trying URL 'http://cran.ms.unimelb.edu.au/bin/windows/contrib/2.11/cluster_1.12.3.zip' Content type 'application/zip' length 340188 bytes (332 Kb) opened URL downloaded 332 Kb package 'cluster' successfully unpacked and MD5 sums checked The downloaded packages are in C:\Users\Daisy Englert\AppData\Local\Temp\2\RtmpWGZV31\downloaded_packages >library(cluster) Error in get(Info[i, 1], envir = env) : internal error -3 in R_decompress1 Error: package/namespace load failed for 'cluster' ******But, I can fix this by setting the lib.loc > library(cluster, lib.loc = "C:/PROGRA~1/R/R-211~1.0/library" ) ******Unfortunately this is not where the updated packages went, the updated package went to "C:\\RLIBRARY" . I have messed something up and I do not know how to fix it. Any advice would be welcome. Thanks, Daisy -- Daisy Englert Duursma Room E8C156 Dept. Biological Sciences Macquarie University NSW 2109 Australia ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.