This is really an R-devel topic: it is not about using R.
R is usually (but not always) built so that everything except Rscript is
relocatable by editing the 'R' script (and R_HOME and R_HOME_DIR are
ignored in the environment, intentionally).
So you could edit the script, but not having Rscript working is a
limitation.
Having said that, not all packages play by the same rules and e.g. some
use -rpath to hardcode paths in package DSOs.
On 26/04/2013 06:13, lcn wrote:
Well, to my understanding, you planned to rsync the original compiled
folder from one machine to somewhere on another machine, and work with it.
Then how about create a file link on the second machine for "/usr/lib64/R"?
Or maybe I misunderstand your purpose?
If you have write permission there, you could install the R RPM.
On Thu, Apr 25, 2013 at 5:57 PM, Saptarshi Guha <saptarshi.g...@gmail.com>wrote:
Hello,
I was looking at the R (installed on RHEL6) shell script and saw
R_HOME_DIR=/usr/lib64/R. Nowhere (and I could have got it wrong) does
it read in the environment value R_HOME_DIR. I have the need to rsync
the entire folder below /usr/lib64/R to another computer into another
directory location. Without changing the R shell script, how can i
force it read in R_HOME_DIR?
Or maybe i misunderstood the bash source?
(Note, i cannot recompile on target machine)
Cheers
Saptarshi
1. I also realize Rscript will not work (i think path is hard coded in the
source)
No, compiled it when it is compiled.
Beginning of /usr/lib64/R/bin/R
R_HOME_DIR=/usr/lib64/R
if test "${R_HOME_DIR}" = "/usr/lib64/R"; then
case "linux-gnu" in
linux*)
run_arch=`uname -m`
case "$run_arch" in
x86_64|mips64|ppc64|powerpc64|sparc64|s390x)
libnn=lib64
libnn_fallback=lib
;;
*)
libnn=lib
libnn_fallback=lib64
;;
esac
if [ -x "/usr/${libnn}/R/bin/exec/R" ]; then
R_HOME_DIR=/usr/lib64/R
elif [ -x "/usr/${libnn_fallback}/R/bin/exec/R" ]; then
R_HOME_DIR=/usr/lib64/R
## else -- leave alone (might be a sub-arch)
fi
;;
esac
fi
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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.
--
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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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
