At 10:27 AM +1100 2/12/08, <[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 ..."
Even if pre-built versions of R were not available, I think your IT staff is exaggerating -- or at least being overly cautious when faced with something unfamiliar. Although I have used unix for many years, I am not a trained or experienced Solaris system administrator. Yet I have been able to install R from source on a modern Solaris using not more than a day or so. And most of that time was spent doing things that an experienced Solais sysadmin should be able to do relatively quickly. -Don > From my experience with IT staff, it may take >quite a long time for them to set up such project, let alone the >installation. > >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. > >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. -- --------------------------------- Don MacQueen Lawrence Livermore National Laboratory Livermore, CA, USA 925-423-1062 [EMAIL PROTECTED] ______________________________________________ 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.
