[R] .Renviron for multiple hardwares...

[Prof Brian Ripley]

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
> <greenberg at 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: jgrn307 at hotmail.com, Gchat: jgrn307
>>
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>>
>
> ______________________________________________
> R-help at 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.
>

-- 
Brian D. Ripley,                  ripley at 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