On Tue, 12 Feb 2008, [EMAIL PROTECTED] wrote: > Thanks to all for your kind suggestions. > > After some discussion with our IT staff, I was told the UNIX system we have > is Solaris and installation of R is very time consuming because "Given that > this software is not standard, and given the amount of time required to > compile the software (and potentially it's dependencies), it will need to be > resourced as a project ..." From my experience with IT staff, it may take > quite a long time for them to set up such project, let alone the > installation.
Prebuilt versions of R are available for Solaris -- and the 'R Installation and Administration' manual told them so. > Given that, I wonder if it is possible to install it myself. As I have > mentioned before, I have no experience in using UNIX, but I will have an > access to the UNIX system soon. Any suggestions and help are greatly > appreciated. It is easy to install R from the sources if you have the compilers and e.g. Tcl/Tk installed. But a Solaris box quite possibly does not, and then a binary install is much easier. > > Regards, > Jin > > -----Original Message----- > From: Gabor Grothendieck [mailto:[EMAIL PROTECTED] > Sent: Monday, 28 January 2008 11:38 > To: Li Jin > Cc: r-help@r-project.org > Subject: Re: [R] Linux, UNIX, XP32, Vista X64 or ...? [SEC=UNCLASSIFIED] > > On the PC there is a builtin GUI but not on UNIX and there are > some packages that are OS specific in which case you might > get more or less selection but probably more. Also depending > on the specific system you may have greater difficulty installing > certain packages due to the need to compile them on UNIX > and the possibility exists that you don't quite have the right > libraries. On Windows you get binaries so this is not a problem. > I have repeatedly found that common packages that I took > for granted on Windows had some problem with installation > on UNIX and I had to hunt around and figure out what the problem > was with my UNIDX libraries or possibly some other problem. > For all R packages this won't be a problem but for packages > that use C and FORTRAN this can be. Although I am lumping > all UNIX systems together I think this varies quite a bit from > one particular type/distro of UNIX/Linux to another and I suspect if you > are careful in picking out the right one (if you have a choice) you > will actually have zero problems. > > On Jan 23, 2008 6:08 PM, <[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 >> -------------------------------------------- >> 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: r-help@r-project.org >> 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 >>> >>> >> >> -- >> Brian D. Ripley, [EMAIL PROTECTED] >> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ >> University of Oxford, Tel: +44 1865 272861 (self) >> 1 South Parks Road, +44 1865 272866 (PA) >> Oxford OX1 3TG, UK Fax: +44 1865 272595 >> >> ______________________________________________ >> 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. > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ 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.
