On Sun, 25 Jan 2009, Henrik Bengtsson wrote:
The script .Rprofile evaluates R code on startup. You could use that
to test for various environment variables. Alternatively, use Unix
shell scripts to set system environment variables to be used in a
generic .Renviron. See help(Startup) for more details.
Well, not just 'Unix shell scripts', just R_ENVIRON_USER apppriately
(on any OS).
/Henrik
On Sun, Jan 25, 2009 at 11:22 AM, Jonathan Greenberg
<greenb...@ucdavis.edu> wrote:
Our lab has a lot of different unix boxes, with different hardware, and I'm
assuming (perhaps wrongly) that by setting a per-user package installation
directory, the packages will only work on one type of hardware. Our systems
are all set up to share the same home directory (and, thus, the same
.Renviron file) -- so, is there a way to set, in the .Renviron file,
per-computer or per-hardware settings? The idea is to have a different
package installation directory for each computer (e.g.
"~/R/computer1/packages" and "~/R/computer2/packages".
Well, we anticipated that and the default personal directory is
set by R_LIBS_USER, and that has a platform-specific default. See
?.libPaths.
None of this is uncommon: my dept home file system is shared by x86_64
Linux, i386 Linus, x86_64 Solaris, Sparc Solaris, Mac OS X and
Windows. I just let install.packages() create a personal library for
me on each one I use it on.
Thoughts? Ideas? Thanks!
--j
--
Jonathan A. Greenberg, PhD
Postdoctoral Scholar
Center for Spatial Technologies and Remote Sensing (CSTARS)
University of California, Davis
One Shields Avenue
The Barn, Room 250N
Davis, CA 95616
Cell: 415-794-5043
AIM: jgrn307, MSN: jgrn...@hotmail.com, Gchat: jgrn307
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--
Brian D. Ripley, rip...@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.