Perhaps there are other opinions, but from my point of view R is spectacularly similar in Linux and Windows (and will be virtually identical in Linux and Unix). As long as you are doing "R" things, you should be in home territory.
I regularly transfer R objects between 64-bit Linux and Windows, and have never had any problems. Patrick Burns [EMAIL PROTECTED] +44 (0)20 8525 0696 http://www.burns-stat.com (home of S Poetry and "A Guide for the Unwilling S User") [EMAIL PROTECTED] wrote: >Hi Peter, >Thank you for the quick answer. >Given that we have UNIX system available here in Geoscience Australia, I am >wondering if UNIX is also faster and with 64 bit build. Perhaps they may be >kind enough to let me have a Linux system. >As I only have experience in using Windows PC, what kind of challenges are >there for using R in other systems like UNIX and Linux? >Thanks again, >Jin > >-----Original Message----- >From: Peter Dalgaard [mailto:[EMAIL PROTECTED] >Sent: Thursday, 24 January 2008 10:23 >To: Li Jin >Cc: [email protected] >Subject: Re: [R] Linux, UNIX, XP32, Vista X64 or ...? [SEC=UNCLASSIFIED] > >[EMAIL PROTECTED] wrote: > > >>Dear All, >>I am currently using R in Windows PC with a 2 GB of RAM. Some pretty large >>datasets are expected soon, perhaps in an order of several GB. I am facing >> >> >a > > >>similar situation like Ralph, either to get a new PC with a bigger RAM or >>else. I am just wondering if R is getting faster in other systems like UNIX >>or Linux. Any suggestions are appreciated. >>Regards, >>Jin >> >> >> >It has always been faster in Linux than in Windows on the same hardware. >In addition, the toolchain issues have been holding up 64 bit >development on 64 bit Windows, whereas 64 bit build has been working >on Linux for years. > > > >>-------------------------------------------- >>Jin Li, PhD >>Spatial Modeller/ >>Computational Statistician >>Marine & Coastal Environment >>Geoscience Australia >>Ph: 61 (02) 6249 9899 >>Fax: 61 (02) 6249 9956 >>email: [EMAIL PROTECTED] >>-------------------------------------------- >> >> >>-----Original Message----- >>From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On >>Behalf Of Prof Brian Ripley >>Sent: Thursday, 24 January 2008 12:05 >>To: Ralph79 >>Cc: [email protected] >>Subject: Re: [R] Problems with XP32-"3GB-patch"?/ Worth upgrading to Vista >>X64? >> >>On Wed, 23 Jan 2008, Ralph79 wrote: >> >> >> >> >>>Dear R-Users, >>> >>>as I will start a huge simulation in a few weeks, I am about to buy a new >>>and fast PC. I have noticed, that the RAM has been the limiting factor in >>>many of my calculations up to now (I had 2 GB in my "old" system, but >>>Windows still used quite a lot of virtual memory), hence my new computer >>>will have 4 GB of fast DDR2-800 RAM. >>> >>>However, I know that 1.) Windows 32 bit cannot make use of more than about >>>3,2 GB RAM and 2.) it is normally not allowed to allocate more than 2 GB >>> >>> >of > > >>>RAM to one single application (at least under XP, I don't know if that has >>>changed under Vista?). >>> >>>I remember from the R-FAQ that you can manually adjust XP so that it >>>allocates up to 3 GB to one application ("the 3GB patch"), but I read in a >>>PC-magazine and some message boards that this may cause problems. Does >>>anybody of you successfully use this "trick" without any problems? >>> >>> >>> >>Yes, many people: most 32-bit Exchange servers use it. Please don't rate >>the advice in the R documentation below tittle-tattle you read on the web. >> >> >> >> >>>Would it be wise to use a 64bit OS, as e.g. Vista X64? I think, under >>> >>> >Vista > > >>>X64 it should be no problem to allocate 4 GB of RAM to R. Any experiences >>>with that? >>> >>> >>> >>That's what the rw-FAQ says, and we do write answers based on experience! >> >> >> >> >>>Thanks in advance, >>>Ralph Wirth >>> >>> >>>----- >>>Ralph Wirth >>>University Erlangen-Nuremberg, Chair of Statistics >>>GfK Group, Department of Methods and Product Development >>> >>> >>> >>> >>> >> >> >> > > > > ______________________________________________ [email protected] 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.
