Just move it to C and you'll probably be ok. I believe runmean in library(caTools) provides a very fast implementation.
Michael On Mar 3, 2012, at 8:31 AM, Alaios <ala...@yahoo.com> wrote: > Dear all, > I am having a vector of around 300.000 elements and I Want to slide fast a > window from the first element until the last-Windowsize > > what I have so far is the following for statement: > > �for (i in 1:(length(data[,1]) - windowSize)) { > ��� ��� out[i] <- mean(data[i:(i + windowSize - 1), ]) > ��� ��� elements[i]<-length(i:(i + windowSize - 1)) > ��� � } > > but this of course takes ages to run, especially with small window sizes!. > Is it possible to speed up this in many cores in R? If yes how? > > I would like to thank you in advance for your help > > B.R > 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. ______________________________________________ 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.