Parallel Linear Model
On Wed, Aug 22, 2012 at 10:47 AM, Patrik Waldmann < patrik.waldmann at boku.ac.at> wrote:
I did not manage to implement this example in foreach, could anyone point me to a similar example?
Here's a version that also uses the parallel package, but supports multiple nodes: library(parallel) cl <- makePSOCKcluster(4) pval <- parCapply(cl, x, function(xc, y) summary(lm(y ~ xc))$coefficients[2,4], y) - Steve
Patrik
Jay Emerson <jayemerson at gmail.com> 22/08/2012 14:05 >>>
Patrik, Your question (at least from you example) is really about general parallel computing. Nothing you want to do with your linear model from your short example requires some special type of parallelism. I recommend package 'foreach' with the parallel backends, or else the package 'parallel' that comes with the newer versions of R. You could also have a look at Dirk's HPC page: http://cran.r-project.org/web/views/HighPerformanceComputing.html Jay -- John W. Emerson (Jay) Associate Professor of Statistics, Adjunct, and Acting Director of Graduate Studies Department of Statistics Yale University http://www.stat.yale.edu/~jay ( http://www.stat.yale.edu/%7Ejay ) [[alternative HTML version deleted]]
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