To supplement Jeff's comments: Big Data: https://CRAN.R-project.org/view=HighPerformanceComputing
To deploy models: https://cran.r-project.org/web/views/ModelDeployment.html Opinion: Executables are a security risk. I wouldn't touch one unless from a trusted source. I think I understand what you want to do, but I would second Jeff's comment about using R packages. Don't bother to disagree with me -- just dismiss if you do-- as this is wandering O/T anyway. 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 Wed, May 6, 2020 at 4:23 PM Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote: > > Large data... yes, though how this can be done may vary. I have used machines > with 128G of RAM before with no special big data packages. > > Making an executable... theoretically, yes, though there are some significant > technical (and possibly legal) challenges that will most likely make you > question whether it was worth it if you try, particularly if your intent is > to obscure your code from the recipient. I (as a random user and programmer > on the Internet) would strongly discourage such efforts... it will almost > certainly be more practical to deliver code in script/package form. > > On May 6, 2020 2:20:47 PM PDT, Paul Bernal <paulberna...@gmail.com> wrote: > >Dear R friends, > > > >Hope you are doing well. I have two questions, the first one is, can I > >work > >with very large datasets in R? That is, say I need to test several > >machine > >learning algorithms, like (random forest, multiple linear regression, > >etc.) > >on datasets having between 50 to 100 columns and 20 million > >observations, > >is there any way that R can handle data that large? > > > >The second question is, is there a way I can develop an R model and > >turn it > >into an executable program that can work on any OS? > > > >Any help and/or guidance will be greatly appreciated, > > > >Best regards, > > > >Paul > > > > [[alternative HTML version deleted]] > > > >______________________________________________ > >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. > > -- > Sent from my phone. Please excuse my brevity. > > ______________________________________________ > 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.
