Hi Simons, Is SAS more powerfull than R?
Well, I think I cannot afford to buy SAS. actually, my computer isn't really slow. I think 4GB RAM is big enough for personal PC. I am just wondering, why R running so slow with these specs to handling 3 GB data set. What if the data set were 1 TB?mmm.. Edwin > Hi, > > I am not very knowledgeable about this kind of stuff but my guess is that > if you have a fairly slow computer and massive data sets there isnt alot > you can do except get a better computer, buy more RAM or use something like > SAS instead? > > Hopefully someone else will chip in Edwin, best of luck. > > Simon. > > > ----- Original Message ----- > From: "Edwin Sendjaja" <edw...@web.de> > To: "Simon Pickett" <simon.pick...@bto.org> > Cc: <r-help@r-project.org> > Sent: Tuesday, January 06, 2009 2:53 PM > Subject: Re: [R] Large Dataset > > > Hi Simon, > > > > My RAM is only 3.2 GB (actually it should be 4 GB, but my Motherboard > > doesnt > > support it. > > > > R use almost of all my RAM and half of my swap. I think memory.limit will > > not > > solve my problem. It seems that I need RAM. > > > > Unfortunately, I can't buy more RAM. > > > > Why R is slow reading big data set? > > > > > > Edwin > > > >> Only a couple of weeks ago I had to deal with this. > >> > >> adjust the memory limit as follows, although you might not want 4000, > >> that > >> is quite high.... > >> > >> memory.limit(size = 4000) > >> > >> Simon. > >> > >> ----- Original Message ----- > >> From: "Edwin Sendjaja" <edw...@web.de> > >> To: "Simon Pickett" <simon.pick...@bto.org> > >> Cc: <r-help@r-project.org> > >> Sent: Tuesday, January 06, 2009 12:24 PM > >> Subject: Re: [R] Large Dataset > >> > >> > Hi Simon, > >> > > >> > Thank for your reply. > >> > I have read ?Memory but I dont understand how to use. I am not sure if > >> > that > >> > can solve my problem. Can you tell me more detail? > >> > > >> > Thanks, > >> > > >> > Edwin > >> > > >> >> 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.
