[R] R Memory Issues

[Prof Brian Ripley]

On 20/05/2012 18:42, jim holtman wrote:
> At the point in time that you get the error message, how big are the
> objects that you have in memory?  What does 'memory.size()' show as
> being used?  What does 'memory.limit()' show?  Have you tried using
> 'gc()' periodically to do some garbage collection?  It might be that
> you memory is fragmented.  You need to supply some additional
> information.

Either this is a 32-bit version of R in which case the wrong version is 
being used, or your advice is wrong: there are no credible fragmentation 
issues (and no need to use gc()) on a 64-bit build of R.

But, we have a posting guide, we require 'at a minimum information', and 
the OP failed to give it to us so we are all guessing, completely 
unnecessarily.

>
> On Sun, May 20, 2012 at 12:09 PM, Emiliano Zapata<ezapataika at gmail.com>  wrote:
>> ---------- Forwarded message ----------
>> From: Emiliano Zapata<ezapataika at gmail.com>
>> Date: Sun, May 20, 2012 at 12:09 PM
>> Subject:
>> To: R-help at r-project.org
>>
>>
>> Hi,
>>
>> I have a 64 bits machine (Windows) with a total of 192GB of physical memory
>> (RAM), and total of 8 CPU. I wanted to ask how can I make R make use of all
>> the memory. I recently ran a script requiring approximately 92 GB of memory
>> to run, and got the massage:
>>
>>   cannot allocate memory block of size 2.1 Gb
>>
>>
>>
>> I read on the web that if you increase the memory you have to reinstall R;
>> would that be enough. Could I just increase the memory manually.
>>
>>
>> Take you for any comments, or links on the web.
>>
>>
>> EZ
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at 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,                  ripley at stats.ox.ac.uk
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