I am using R 3.3.2 on win 7, 32 bit with 2gb Ram. Is it possible to use more than 2 Gb data set ? Regards Partha [[alternative HTML version deleted]]
Yes. If you cannot read the dataset with the usual means, using functions like read.table or read.csv, try the ff package: https://cran.r- project.org/web/packages/ff/index.html. Best, On Tue, Nov 22, 2016 at 2:16 PM, Partha Sinha <pnsinha68 at gmail.com> wrote:> I am using R 3.3.2 on win 7, 32 bit with 2gb Ram. Is it possible to use > more than 2 Gb data set ? > > Regards > Partha > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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. >-- Marcus Nunes http://marcusnunes.me/ [[alternative HTML version deleted]]
Depends how you use it. e.g. it can be stored on disk and worked with in pieces. Or some packages work with virtual memory, I believe. However, it is certainly not possible to read it into R. In fact, you probably won't be able to handle more (and maybe much less) than about 500 mb in R. 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 Tue, Nov 22, 2016 at 9:16 AM, Partha Sinha <pnsinha68 at gmail.com> wrote:> I am using R 3.3.2 on win 7, 32 bit with 2gb Ram. Is it possible to use > more than 2 Gb data set ? > > Regards > Partha > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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.
Not conveniently. Memory is cheap, you should buy more. Best, Ista On Nov 22, 2016 12:19 PM, "Partha Sinha" <pnsinha68 at gmail.com> wrote:> I am using R 3.3.2 on win 7, 32 bit with 2gb Ram. Is it possible to use > more than 2 Gb data set ? > > Regards > Partha > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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]]
Ah, you also need to use a 64-bit operating system. Depending on the age of your hardware this may also mean you need a new computer. There are ways to process data on disk for certain algorithms, but you will be glad to leave them behind once the opportunity arises, so you might as well do so now. -- Sent from my phone. Please excuse my brevity. On November 22, 2016 10:47:29 AM PST, Ista Zahn <istazahn at gmail.com> wrote:>Not conveniently. Memory is cheap, you should buy more. > >Best, >Ista > >On Nov 22, 2016 12:19 PM, "Partha Sinha" <pnsinha68 at gmail.com> wrote: > >> I am using R 3.3.2 on win 7, 32 bit with 2gb Ram. Is it possible to >use >> more than 2 Gb data set ? >> >> Regards >> Partha >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at 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 at 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.
On Windows 32-bit I think (it's been a while) you can push it to 3 GB but to go beyond you need to run R on 64-bit Windows (same rule for all software not just R). I'm pretty sure this is already documented in the R documentation. Henrik On Nov 22, 2016 19:49, "Ista Zahn" <istazahn at gmail.com> wrote: Not conveniently. Memory is cheap, you should buy more. Best, Ista On Nov 22, 2016 12:19 PM, "Partha Sinha" <pnsinha68 at gmail.com> wrote:> I am using R 3.3.2 on win 7, 32 bit with 2gb Ram. Is it possible to use > more than 2 Gb data set ? > > Regards > Partha > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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 at 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]]