On 25/01/2012 01:22, Steve Lianoglou wrote:
Hi Peter,
On Tue, Jan 24, 2012 at 8:06 PM, Peter Carr<pc...@broadinstitute.org> wrote:
I, too, would like to run multiple versions of R, via command line, on Mac
OS X. I have looked in vain for a clear explanation of why there can be one
and only one 'Current' version of R running at a time.
That is simply untrue, and would be crippling for the R developers if it
were true.
Assuming you have multiple R versions installed, all you need to do is
to invoke their 'R' scripts directly. There is a problem caused by the
way Simon installs these scripts in frameworks, so e.g.
/Library/Frameworks/R.framework/Versions/2.13/Resources/bin/R
starts
#!/bin/sh
# Shell wrapper for R executable.
R_HOME_DIR=/Library/Frameworks/R.framework/Resources
but all you have to do is make a copy and change that to e.g.
R_HOME_DIR=/Library/Frameworks/R.framework/Versions/2.13/Resources
[Which is in the thread mentioned.]
And of course, no one said you have to use that particular build of R,
and for serious users of command-line R a personal build will be more
convenient (just like any other platform).
If you have packages which use compiled code they are tied (on OS X
only) to a particular 2.x.* set of R versions, but you can overcome that
easily enough by using different library directories for different
versions of R.
You can dig up some info from this thread:
https://stat.ethz.ch/pipermail/r-sig-mac/2011-September/008582.html
I believe the take home message is that if you want to do this
(running different R versions *simultaneously*), you can do some
symlink mojo (you'll find links to examples in that thread) that will
let you do so, and (for the most part), it will work.
The problem arises when you have to install R packages that need be
source compiled. This limitation holds if we are talking about running
R versions that were released as binaries on CRAN (I'm not sure if
this is true when you compile R as a framework build yourself (but my
guess is that it will still be a problem in that scenario, as well)).
I can link you straight to the email that says that (w/ more details),
but you'd probably better be served by just going through the entirety
of that thread.
Hope that helps,
-steve
--
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
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