Patrik,

Your example could be re-written as something like:

pval <- foreach (i =1:n, .combine=c) %dopar% {
mod <- lm(y ~ x[,i])
summary(mod)$coefficients[2,4]
}

But without a reproducible example I won't be able to help you further.

-Zach

On Wed, Aug 22, 2012 at 10:47 AM, Patrik Waldmann <
patrik.waldmann@boku.ac.at> wrote:

> I did not manage to implement this example in foreach, could anyone point
> me to a similar example?
>
> Patrik
>
> >>> Jay Emerson <jayemerson@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 )
>
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>
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