[R] Memory(RAM) issues

[Abhisek Saha]

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 <anupamtg at 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-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
> Behalf Of Abhisek Saha
> Sent: Saturday, June 11, 2011 6:25 AM
> To: r-help at 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
>
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>
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