R help - Oct 2008 - increase memory limit in R

Dear R users,

I am running lmer() and having memory problem: "reached total allocation of
1535Mb".

The lmer() function was successful (no errors or warnings). However when I
do "summary(fit.lmer), I got this "Error: cannot allocate vector of
size
19.5 Mb). I used memory.size() and got 1880. I used memory.limit(2500) to
increase the memory size to 2500Mb, however I still get the warning messages
as above. I entered memory.limit() to check whether the size has been
increased or not, and R returns 2500.

I am running the program on Windows XP Professional, CPU 2.00GHz and 3.3 GB
of RAM. 

I appreciate your advices. Thank you.
Julia
-- 
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Sent from the R help mailing list archive at Nabble.com.

AFAICS, you have a 2GB address space: please do read the rw-FAQ and fix 
that, in which case R will automatically make use of the increased space.

Hint: what is /3GB for?

On Thu, 16 Oct 2008, liujb wrote:
>
> Dear R users,
>
> I am running lmer() and having memory problem: "reached total
allocation of
> 1535Mb".
>
> The lmer() function was successful (no errors or warnings). However when I
> do "summary(fit.lmer), I got this "Error: cannot allocate vector
of size
> 19.5 Mb). I used memory.size() and got 1880. I used memory.limit(2500) to
> increase the memory size to 2500Mb, however I still get the warning
messages
> as above. I entered memory.limit() to check whether the size has been
> increased or not, and R returns 2500.
>
> I am running the program on Windows XP Professional, CPU 2.00GHz and 3.3 GB
> of RAM.
>
> I appreciate your advices. Thank you.
> Julia
> -- 
> View this message in context:
http://www.nabble.com/increase-memory-limit-in-R-tp20015931p20015931.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> 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