That could be the answer, yes. El jue., 7 de mayo de 2020 1:22 a. m., <cpolw...@chemo.org.uk> escribió:
> Or maybe a Shiny Application? > > On 7 May 2020 06:53, Paul Bernal <paulberna...@gmail.com> wrote: > > Dear Jeff, > > Thank you for the feedback. So, after reading your comments, it seems > that, > in order to develop an executable model that could be run in any OS, > python > might be the way to go then? > > I appreciate all of your valuable responses. > > Best regards, > > Paul > > El mié., 6 de mayo de 2020 6:22 p. m., Jeff Newmiller < > jdnew...@dcn.davis.ca.us> escribió: > > > 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. > > > > [[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. > > > [[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.