R is a free software environment for
statistical computing. The version currently installed at BioHPC is R-2.15.0. For
detailed description of the R project and for literature references please
consult the R web page.
For the list of currently installed packages click
here.
This interface can be used to submit jobs in batch mode only, i.e., the command
executed will be
Rcmd BATCH [options] scriptfile
where scriptfile is the name of a script consisting of R
commands. You will need to upload this script and all relevant input data files
referenced in this script (in the form of a tar file). scriptfile
should read/write files from/to the current directory or its
subdirectories only. File or path names starting with "/",
"C:/", etc., are not allowed. A gzipped tarball
scriptfile_rslts.tgz of all input and output files will be
available for ftp download upon successful job completion. During the run, you
will be able to monitor the log file, scriptfile.Rout.
Graphical features of R and packages requiring database
connections are not available through this interface.
Calculations will be carried out on the BioHPC compute cluster at CBSU. You will receive e-mail notifications when the job is submitted, when it starts, and when it is finished. Output will be available via links embedded in the notification e-mails. For more information about this program and BioHPC interface in general, please visit our Frequently Asked Questions page.
Job name:
(will be set to the name of script file)
Log file:
(will be set after script file is selected)
Upload your script file
(the script should assume that all input/output files are placed in the
current
directory or its subdirectories)
Upload gzipped tarball of your input files
(execute "tar -cf tarball.tar file1 file2 ... fileN" in the directory where
file1, file2, ..., fileN are placed,
then gzip the resulting tar file to obtain a tgz file)
Options
(This field may be left blank. For full description of all program options
available in batch mode refer to documentation.)
Cluster:
This application can't run at this time - no suitable clusters
or you are not authorized to use the service.
The service is available only to Cornell students, faculty, and staff.
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