Thanks for your answer Martin, but -unfortunately- the decision about
installing a 32 bits OS in the 64 bits machine, was taken by the IT
guys of my work and not by me.
By the way, due to strong limitations about software installation in
my work place, this problem didn't happen in Ubuntu, but in Red Hat
Enterprise 5. At home I have Ubuntu 10.10 32 bits, but I can not run
the code I need in that machine.
Cheers,
Mauricio
--
===============================
Linux user #454569 -- Ubuntu user #17469
===============================
2011/1/17 Martin Maechler <maech...@stat.math.ethz.ch>:
>>>>>> "MZ" == Mauricio Zambrano <hzambran.newsgro...@gmail.com>
>>>>>> on Mon, 17 Jan 2011 11:46:44 +0100 writes:
>
> MZ> Dear R community,
> MZ> I'm running R 32 bits in a 64-bits machine (with 16Gb of Ram) using a
> MZ> PAE kernel, as you can see here:
>
> MZ> $ uname -a
> MZ> Linux mymachine 2.6.18-238.el5PAE #1 SMP Sun Dec 19 14:42:44 EST 2010
> MZ> i686 i686 i386 GNU/Linux
>
>
> MZ> When I try to create a large matrix ( Q.obs <- matrix(NA, nrow=6940,
> MZ> ncol=9000) ), I got the following error:
>
>
> >> Error: cannot allocate vector of size 238.3 Mb
>
>
> MZ> However, the amount of free memory in my machine seems to be much
> MZ> larger than this:
>
> MZ> system("free")
> MZ> \ total used free shared buffers
> cached
> MZ> Mem: 12466236 6354116 6112120 0 67596
> 2107556
> MZ> -/+ buffers/cache: 4178964 8287272
> MZ> Swap: 12582904 0 12582904
>
>
> MZ> I tried to increase the memory limit available for R by using:
>
> MZ> $ R --min-vsize=10M --max-vsize=5000M --min-nsize=500k
> --max-nsize=5000M
>
>
> MZ> but it didn't work.
>
>
> MZ> Any hint about how can I get R using all the memory available in the
> machine ?
>
> Install a 64-bit version of Linux, i.e., ubuntu in your case
> and work from there.
> I don't think there's a way around that.
>
> Martin
>
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