/parallel_R_workshop

Material for a short workshop on very basic parallel computing with R

Primary LanguageR

This repository contains example code used in a workshop on very basic use of R for use on multiple processors or multiple nodes, basically the functions mclapply(), parLapply(), and clusterApply() from the parallel() library.

Based on work originally done by David Childers and Bennet Fauber for a workshop at the University of Michigan. Material also contributed by Missy Plegue of the Center for Statistical Consultation and Research, also at the University of Michigan.