Please do your homework. The place to start for questions like this is the CRAN Task Views page, where you will find a High Performance Computing topic that links here:
http://cran.r-project.org/web/views/HighPerformanceComputing.html If nothing there suits, then re-post with details as to why not and what you think you are looking for. Cheers, Bert Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." H. Gilbert Welch On Fri, Jun 6, 2014 at 6:21 AM, Frede Aakmann Tøgersen <fr...@vestas.com> wrote: > Hi > > SAS is famous for handling large data sets. For more than 10 years ago S+ > introduced a module for large data sets. Never used it, more money for > license for a poor research institute. > > Today I have a laptop with 8 Gb. If that's not enough then the head nodes on > our cluster has 64 Gb and some nodes 196 Gb. > > But from time to time it could be an advantage to do some analysis using the > laptop. > > So my question is: which kind of functionality for large data sets do the R > community offers? > > Br. > > Frede > > > > > Sendt fra Samsung mobil > > > -------- Oprindelig meddelelse -------- > Fra: Frank Harrell > Dato:06/06/2014 14.43 (GMT+01:00) > Til: RHELP > Emne: Re: [R] SAS VS R - What type of analysis is better? > > I can't think of an example where R does not work better than SAS except > for a few cases of mixed effects regression models and for processing > enormous datasets when the R user does not want to learn about the > latest R tools for large datasets. I quit using SAS in 1991 (in favor > of S-Plus and transitioned to R around 2000) and have never looked back. > Lately what has really made R powerful is its ability to interface > with other languages and especially the way it works in a reproducible > analysis/dynamic report document context. > > Frank > -- > Frank E Harrell Jr Professor and Chairman School of Medicine > Department of Biostatistics Vanderbilt University > > ______________________________________________ > 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]] > > ______________________________________________ > 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.