Hello Michael,
thanks for the answer, it looks like that the foreach package might do what I want. Few comments though

The foreach loop asks for a way to combine results, which I do not want to have any. AFter I load a dataset the subsequent function does plotting and save the files as pdfs, nothing more.

What is the difference between %do% and %dopar%, they look actually the same.

I do not see to be anyway to contol the number of used cores, like set to use only 4, or 8 or 16.

Regards
Alex



________________________________
 From: R. Michael Weylandt <michael.weylandt@gmail.com>

Cc: R help <R-help@r-project.org> 
Sent: Tuesday, May 15, 2012 8:00 AM
Subject: Re: [R] Simple parallel for loop

Take a look at foreach() and %dopar$ from the CRAN package foreach.

Michael


> Dear all,
> I am having a for loop that iterates a given number of measurements that I would like to split over 16 available cores. The code is in the following format
>
> inputForFunction<-expand.grid(caseList,filterList)
> for (i in c(1:length(inputForFunction$Var1))){#
>       FileList<-GetFileList(flag=as.vector(inputForFunction$Var1[i]));
>        print(sprintf("Calling the plotsCreate for %s and%s",as.vector(inputForFunction$Var1[i]),as.vector(inputForFunction$Var2[i])))
>
>      plotsCreate(Folder=mainFolder,case=as.vector(inputForFunction$Var1[i]),DataList=FileList,DataFilter=as.vector(inputForFunction$Var2[i]))
>  }
>
> as you can see after the inputForFunction is calculated then my code iterates over the available combinations of caseList and filterList. It would be great, without major changes, split these "tasks" to all the available processors.
>
> Is there some way to do that?
>
> Regards
> Alex
>
>        [[alternative HTML version deleted]]
>
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
	[[alternative HTML version deleted]]

