[R] Affymetrix data analysis

[Prof Brian Ripley]

On Thu, 1 Feb 2007, Sicotte, Hugues   Ph.D. wrote:

> Tristan,
> I have a soft spot for problems analyzing microarrays with R..
>
> for the memory issue, there have been previous posts to this list..
> But here is the answer I gave a few weeks ago.
> If you need more memory, you have to move to linux or recompile R for
> windows yourself..
> .. But you'll still need a computer with more memory.
> The long term solution, which we are implementing, is to rewrite the
> normalization code so it doesn't
> Need to load all those arrays at once.
>
> -- cut previous part of message--
> The defaults in R is to play nice and limit your allocation to half
> the available RAM. Make sure you have a lot of disk swap space (at least
> 1G with 2G of RAM) and you can set your memory limit to 2G for R.

That just isn't true (R uses as much of the RAM as is reasonable, all for 
up to 1.5Gb installed).  Please consult the rw-FAQ for the whole truth.

> See help(memory.size)  and use the memory.limit function

[Please follow the advice you quote.]

> Hugues
>
>
> P.s. Someone let me use their 16Gig of RAM linux
> And I was able to run R-64 bits with "top" showing 6Gigs of RAM
> allocated (with suitable --max-mem-size command line parameters at
> startup for R).

There is no such 'command' for R under Linux.


-- 
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