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NOTE: Development continues in the new packagebatchtools

Provides Map, Reduce and Filter variants to generate jobs on batch computing systems like PBS/Torque, LSF and Sun Grid Engine. Multicore and SSH systems are also supported.

• Official CRAN release site:https://cran.r-project.org/package=BatchJobs

• R Documentation in HTML:https://www.rdocumentation.org/packages/BatchJobs

• Run this in R to install the current GitHub version:

  devtools::install_github("tudo-r/BatchJobs")

• Further installation instructions

JSS link:https://www.jstatsoft.org/v64/i11

To cite BatchJobs or BatchExperiments in publications use:Bernd Bischl, Michel Lang, Olaf Mersmann, Jörg Rahnenführer, Claus Weihs (2015). BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments. Journalof Statistical Software, 64(11), 1-25. URL https://www.jstatsoft.org/v64/i11/.A BibTeX entry for LaTeX users is@Article{,  title = {{BatchJobs} and {BatchExperiments}: Abstraction Mechanisms for Using {R} in Batch Environments},  author = {Bernd Bischl and Michel Lang and Olaf Mersmann and J{\"o}rg Rahnenf{\"u}hrer and Claus Weihs},  journal = {Journal of Statistical Software},  year = {2015},  volume = {64},  number = {11},  pages = {1--25},  url = {https://www.jstatsoft.org/v64/i11/},}

• Create, submit and controlR jobs on batch systems
• Provides the functional programming tools Map, Reduce and Filter to operate on the cluster
• Supported systems include Torque/PBS, SGE, SLURM, OpenLava and LSF
• Support for makeshift SSH clusters and local (multicore) execution
• Convenient collection and aggregation of results
• Further Map and Reduce results from previous jobs as batch jobs
• Optional mail sending usingsendmailR after job completion
• Query status of jobs and display log files inside R
• Possibility to write your own simple cluster interface if your architecture is not supported
• BatchExperiments extends this package with functionality required for comprehensive computer experiments and simulation studies.

A fresh installation defaults to a local execution mode.Proceed toConfiguration to set up cluster execution.The package also allows a few R options to be set, seehere.

Probably the best way to get started in 5 minutes is to read ourpaper or Henrik Bengtsson'sintro slides.If you have more time, read ourtechnical report.For more detailed information on the functions consult theR documentationWe also provide aFAQ in ourwiki.And here is a nice intro article for BatchJobs with Torque onR Bloggers.

We also have amailing list.