The following might be nonsense, as I have no understanding of R internals; but ....
"Growing" structures in R by iteratively adding new pieces is often warned to be inefficient when the number of iterations is large, and your rbind() invocation might fall under this rubric. If so, you might try issuing the call say, 20 times, over 10k disjoint subsets of the list, and then rbinding up the 20 large frames. Again, caveat emptor. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Mon, Jun 27, 2016 at 8:51 AM, Witold E Wolski <wewol...@gmail.com> wrote: > I have a list (variable name data.list) with approx 200k data.frames > with dim(data.frame) approx 100x3. > > a call > > data <-do.call("rbind", data.list) > > does not complete - run time is prohibitive (I killed the rsession > after 5 minutes). > > I would think that merging data.frame's is a common operation. Is > there a better function (more performant) that I could use? > > Thank you. > Witold > > > > > -- > Witold Eryk Wolski > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.