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Currently there's R 2.14.x installed from standard repos (package names start with 'r-cran-'), and R 2.15.0 installed in FarmShare modules (try 'module avail').

R Sample Job

Here's an example R file that generates a large array, fills it with some random numbers, then sleeps for 5mins. This happens to use up almost exactly 8GB of RAM.

$ cat 8GB.R 
x <- array(1:1073741824, dim=c(1024,1024,1024)) 
x <- gaussian()

Here's an example SGE submit script that runs that R file.


# use the current directory
#$ -cwd
# mail this address
#$ -M chekh@stanford.edu
# send mail on begin, end, suspend
#$ -m bes
# get rid of spurious messages about tty/terminal types
#$ -S /bin/sh

R --vanilla --no-save < 8GB.R

You can submit it with just

 qsub r_test.script

Here are the output files that I get, one from stderr, one from stdout

$ cat r_test.script.e497 
tset: standard error: Function not implemented

Undefined tty
stdin: is not a tty
$ cat r_test.script.o497 

Warning: no access to tty (Bad file descriptor). Thus no job control in this shell.

R version 2.12.1 (2010-12-16) Copyright (C) 2010 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.

R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R.

> x <- array(1:1073741824, dim=c(1024,1024,1024)) > x <- gaussian() > Sys.sleep(300) >

Those errors about tty and job control have something to do with shell startup and terminal settings, and are normal. Or specify the 'sh' shell in your job script

 #get rid of spurious messages about tty/terminal types
#$ -S /bin/sh

In the mail that you get about the ending of the job, the maxvmem number is actually incorrect, it is a known bug in this version of SGE. The R script on this page actually uses 8GB of vmem.

Installing CRAN Packages

Most CRAN packages can be installed per-user by running install.packages() in an interactive session:

install.packages("package_name", dependencies = TRUE)

R initially attempts to install to /usr/local/lib/R, but will prompt for the creation of a library subdirectory in ~/R (if necessary) and fall back to installation there when the initial attempt fails. If your package requires dependencies available from the standard Ubuntu repositories you can submit a HelpSU ticket requesting installation.


Some other departments have some other more detailed examples:

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