I think he meant: ?Memory edwin
> When I do it on a Mac installation I get: > > Help for the topic "memory" was not found. > > Is that a Linux-specific function? Or perhaps you meant to type: > > ?Memory > > Which does produce useful information. > > -- > David Winsemius > > > sessionInfo() > > R version 2.8.0 Patched (2008-11-14 r46932) > i386-apple-darwin9.5.0 > > locale: > en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8 > > attached base packages: > [1] grid stats graphics grDevices utils datasets > methods base > > other attached packages: > [1] vcd_1.2-1 colorspace_1.0-0 MASS_7.2-45 rattle_2.4.0 > > loaded via a namespace (and not attached): > [1] tools_2.8.0 > > On Jan 6, 2009, at 6:43 AM, Simon Pickett wrote: > > type > > > > ?memory > > > > into R and that will explain what to do... > > > > S > > ----- Original Message ----- From: "Edwin Sendjaja" <edw...@web.de> > > To: <r-help@r-project.org> > > Sent: Tuesday, January 06, 2009 11:41 AM > > Subject: [R] Large Dataset > > > >> Hi alI, > >> > >> I have a 3.1 GB Dataset ( with 11 coloumns and lots data in int > >> and string). > >> If I use read.table; it takes very long. It seems that my RAM is > >> not big > >> enough (overload) I have 3.2 RAM and 7GB SWAP, 64 Bit Ubuntu. > >> > >> Is there a best sultion to read a large data R? I have seen, that > >> people > >> suggest to use bigmemory package, ff. But it seems very > >> complicated. I dont > >> know how to start with that packages. > >> > >> i have tried to use bigmemory. But I got some kind of errors. Then > >> I gave up. > >> > >> > >> can someone give me an simple example how ot use ff or bigmemory?or > >> maybe re > >> better sollution? > >> > >> > >> > >> Thank you in advance, > >> > >> > >> Edwin > >> > >> ______________________________________________ > >> 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. ______________________________________________ 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.