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 <istaz...@gmail.com> wrote: >Not conveniently. Memory is cheap, you should buy more. > >Best, >Ista > >On Nov 22, 2016 12:19 PM, "Partha Sinha" <pnsinh...@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@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. ______________________________________________ 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.
