By Rob Campbell

Purdue University

Run R scripts on high-performance computing resources.

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Version 1.2.6 - published on 19 Aug 2014

This tool is closed source.

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Features: * Upload R scripts and data files from your workstation. * Import previously uploaded or generated files from DiaGrid's hub storage space. * Automatically extract imported archive files (.zip, .tar). * Run an R script as a single, long running job which continues to execute - even if you log off or loose connection. * Use a parallel R library in conjunction with your R script to run on multiple processors. * Set up a job to create multiple, simultaneous runs that sweep over a range of parameter(s). * Receive email notification when your job has finished. * Specify an additional R script to perform post-processing of job results (collect data, render graphs). * Automatically display generated PDFs. * Download or save results and files in an archive. * Get help from tooltips and links to documentation. * View available R version and libraries. (Image(Rlogo.png) failed - File not found)

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Cite this work

Researchers should cite this work as follows:

  • Rob Campbell (2014), "SubmitR,"

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