...you should find a 64 bit Linux version here: http://cran.r-project.org/bin/linux/
On Thu, Jun 23, 2011 at 6:04 PM, David Winsemius <dwinsem...@comcast.net> wrote: > > On Jun 23, 2011, at 11:57 AM, Abhisek Saha wrote: > >> Hi Lui, Anupam and my other R-user friends, >> Thanks for your previous suggestions. As for my issue, it is clearly >> RAM problem as my code is running perfectly as long as my input data >> size is small and code has been refined a number of times to increase >> efficiency [ by using matrix more in the context of manipulations and >> reducing order of time complexity wherever possible]. Yet it has >> gotta run 2000 iterations and in each of the iterations it repeatedly >> modifies few [0.5 Mn * 15] tables >> >> After few basic investigation it seems that the problem MAY be >> resolved if 64 bit version of R is installed in 64 bit OS as it claims >> to be able use potentially a 8TB RAM ( for my case I think 4 GB RAM >> may serve the purpose but 2 GB is not enough) if available.I don't >> have any domain knowledge in IT since I hail from a statistics >> background. I work in a company as a statistical analyst. The IT >> folks of my company are ready to deploy any free solution but I need >> to tell them what software needs to be installed and what all OS >> configurations would be required. They normally run all of the >> applications on unix servors. >> >> So I need to know if any free 64 bit of R version can be installed in >> unix servor or if not unix, may be on other servor. So hereby I >> request my R-user friends to please let me know if any free 64 bit >> version of R is available > > Yes. > >> that can be installed on any unix servor. If >> that is not available is there any other FREE solution and if >> available, how to get that and what all configuration is required. > > There are a bunch of "UNIX-alike" platforms. Read the FAQ: > > http://cran.r-project.org/doc/FAQ/R-FAQ.html#What-machines-does-R-run-on_003f > > -- David. >> >> Awaiting your replies, >> Regards, >> Abhisek >> >> P.S. Please forward this mail to any other R-mailing list if you deem >> it fit for any of them. >> >> On Sat, Jun 11, 2011 at 4:38 PM, Lui ## <lui.r.proj...@googlemail.com> >> wrote: >>> >>> Hello Abhisek, >>> >>> maybe you wanna try it on just a bigger machine (I guess you are >>> working at a university, so I hope you do have access to them). In >>> case getting computing time or the like is a major issue, you may >>> wanna try Amazon AWS: For a few rupees (about 50-100 per hour) you can >>> "rent" pretty fast computers (20 Ghz, 8BG of RAM). You may want to try >>> out the Windows version (little bit more expensive) which is easily >>> accessible via remote desktop. Installing Revolution (which is free >>> for academic purposes) (64 Bit Version) might give you a good start. >>> Maybe its not a viable option in a long term view (pricing), but it >>> might help to get a clue whether the problem can be solved on a bigger >>> machine and just trying it out without a bigger hastle... >>> >>> Good luck! >>> >>> Lui >>> >>> On Sat, Jun 11, 2011 at 7:47 AM, Abhisek Saha <tad...@gmail.com> wrote: >>>> >>>> Thanks Anupam for your inputs. I believe there are two ways to >>>> circumvent the issue...1> making the code more efficient 1> Increasing >>>> the memory in some way.The reasons why I did not paste the code are 1> >>>> It is long and using quite a number of functions that I created 2> >>>> Secondly my intention is not to make the code more efficient if that's >>>> possible. Here landing into a memory problem with 2 GB RAM is natural >>>> as my analysis entails 1500 simulations from huge multivariate >>>> distributions that change after every simulation and tomorrow I may >>>> have to do similar analysis with 10 million observations * 20 columns. >>>> >>>> In view of above I shall be needing more memory sometime later and my >>>> IT friends are ready to support me for that(probably with a sandbox) >>>> but I am not sure whether I can install probably a servor version of R >>>> that can be capable of working with 8GB or so RAM. So it is more of >>>> technical help I need and I have no clue regarding the plausibility of >>>> the solution mentioned( i.e. a servor version of R that is capable of >>>> more memory). >>>> >>>> Regards, >>>> Abhisek >>>> >>>> On Sat, Jun 11, 2011 at 10:10 AM, Anupam <anupa...@gmail.com> wrote: >>>>> >>>>> It will be helpful on this forum to use metric measures: 12 Lakh is 1.2 >>>>> million, thus your data is 1.2 million observations x 15 variables. I >>>>> do not >>>>> know the intricacies of R. You may have to wait for someone with that >>>>> knowledge to respond. >>>>> >>>>> Including some relevant portions of error messages and code in your >>>>> query >>>>> can also help someone to respond to your message. >>>>> >>>>> Anupam. >>>>> -----Original Message----- >>>>> From: r-help-boun...@r-project.org >>>>> [mailto:r-help-boun...@r-project.org] On >>>>> Behalf Of Abhisek Saha >>>>> Sent: Saturday, June 11, 2011 6:25 AM >>>>> To: r-help@r-project.org >>>>> Subject: [R] Memory(RAM) issues >>>>> >>>>> Dear All, >>>>> I have been working with R(desktop version) in VISTA. I have the latest >>>>> version R 2.13.0. I have been working with few data-sets of size 12Lakh >>>>> * 15 >>>>> and my code is quite computing intensive ( applying MCMC gibbs sampler >>>>> on a >>>>> posterior of 144 variables) that often runs into a memory issue such as >>>>> memory can not allocate the vector ,full size(shows to have reached >>>>> something like 1.5 GB) reached or something to this effect. I have a >>>>> RAM of >>>>> 2GB. I checked with the option like memory.size and it says a 64 bit R >>>>> if >>>>> sat on 64 bit windows then max memory capability is 8TB. >>>>> >>>>> Now I don't have background to understand the definitions and >>>>> differences >>>>> between 32 and 64 bit machines and other technical requirements like >>>>> servor >>>>> etc but it would be of great help if anyone can let me have a feel of >>>>> it. >>>>> Could any of you tell me whether some servor version of R would resolve >>>>> my >>>>> issue or not (I am not sure now what kind of servor my company would >>>>> allow R >>>>> to be installed at this point ,may be linux type) and if that's the >>>>> case >>>>> could any of you guide me about how to go about installing that onto a >>>>> sevor. >>>>> >>>>> Thank you, >>>>> Abhisek >>>>> >>>>> [[alternative HTML version deleted]] >>>>> >>>>> ______________________________________________ >>>>> 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. > > David Winsemius, MD > West Hartford, CT > > ______________________________________________ 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.
