As the error message suggests, see ?memory.size, and you'll find that the
problem is arising because R is running out of memory. If you were able to
run this analysis before, then one possible reason why it now fails is that
the workspace has increased in size in the interim - more objects and
results from analyses. Open R with a clean, empty workspace, and run the
analysis - I bet it works.

Or install more RAM and use the 64 bit version of windows.


On Tue, Apr 10, 2012 at 10:09 AM, Frederico Mestre <
mestre.frederico@gmail.com> wrote:

> Hello:
>
>
>
> While running R doing the analysis of my data I (using packages such as
> BIOMOD or e1071) get the following error as a result of several of my
> analysis:
>
>
>
> Error: cannot allocate vector of size 998.5 Mb
>
> In addition: Warning messages:
>
> 1: In array(c(rep.int(c(1, numeric(n)), n - 1L), 1), d, dn) :
>
>  Reached total allocation of 4095Mb: see help(memory.size)
>
> 2: In array(c(rep.int(c(1, numeric(n)), n - 1L), 1), d, dn) :
>
>  Reached total allocation of 4095Mb: see help(memory.size)
>
> 3: In array(c(rep.int(c(1, numeric(n)), n - 1L), 1), d, dn) :
>
>  Reached total allocation of 4095Mb: see help(memory.size)
>
> 4: In array(c(rep.int(c(1, numeric(n)), n - 1L), 1), d, dn) :
>
>  Reached total allocation of 4095Mb: see help(memory.size)
>
>
>
> My question is: I've done the analysis of this same data in the same
> computer and everything worked out fine. Now I get this error as a result
> of
> several analysis. What changed?
>
>
>
> I'm running R in a 64 bits, Windows 7 , 4 GB of RAM computer.
>
>
>
> Thanks,
>
> Frederico Mestre
>
>
>
>
>        [[alternative HTML version deleted]]
>
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Drew Tyre

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