If you know much about what the elements of LIST look like you can speed things up by not making R figure out what you already know. E.g., if you know that LIST consists of p numeric vectors, all of the same length, n, then the following might be faster matrix(unlist(LIST, use.names=FALSE), nrow=n) If you are worried about row or column names then you can add that information to the call to matrix(). (The above will also work if LIST contains some matrix elements, as long as they all have n rows.)
Bill Dunlap Spotfire, TIBCO Software wdunlap tibco.com > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On > Behalf Of Steven Bauer > Sent: Sunday, August 28, 2011 5:36 PM > To: r-help@r-project.org > Subject: [R] parallel rbind > > As I am sitting here waiting for some R scripts to run...I was > wondering... is there any way to parallelize rbind in R? > > I wait for this call to complete frequently as I deal with large > amounts of data. > > do.call("rbind", LIST) > > ______________________________________________ > 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.
