[R-sig-eco] memory size limits

[Chris Howden]

Hi Eric,

If your computer only has 2 GB of RAM then there's likely not much left
over for R to use. Even though U've increased the memory usage to 4095Mb,
u only have at most 2Gb to assign to R. And that's if there is nothing
else using your RAM (which is not possible).

Note that R doesn't use the hard drive for calculations, so defragging
will have no impact (or maybe a small impact, computers can do weird
things at times)

The first thing U can try is removing programs running in your RAM. Try
opening up windows task manager (ctr-shift-esc) and turning off some
processes. This should free up RAM for R. You'll likely need to restart R
after you've done this so it can find the new memory.

The other thing worth trying is buying some more RAM!!!

Also, try looking at memory.size(max=TRUE) to see how much memory your OS
is saying U have.


Good luck


Chris Howden
Founding Partner
Tricky Solutions
Tricky Solutions 4 Tricky Problems
Evidence Based Strategic Development, IP development, Data Analysis,
Modelling, and Training
(mobile) 0410 689 945
(fax / office) (+618) 8952 7878
chris at trickysolutions.com.au

-----Original Message-----
From: r-sig-ecology-bounces at r-project.org
[mailto:r-sig-ecology-bounces at r-project.org] On Behalf Of Howe, Eric (MNR)
Sent: Tuesday, 17 August 2010 1:57 AM
To: r-sig-ecology at r-project.org
Subject: [R-sig-eco] memory size limits

Hello,

When trying to fit spatially-explicit capture recapture models with a
larger number of parameters, using the package secr, I get the following
error message:



> gH.yr.sH.jc.session=secr.fit(seeh69, model=list(g0~h2+yr,
sigma~h2+jc+session),
mask=masklist,CL=T,detectfn=1,timecov=timecovs,sessioncov=sesscovs,detai
ls=list(distribution='binomial'), stepmax=10)

Checking data

Preparing detection design matrices

Error: cannot allocate vector of size 150.6 Mb



I only get the message when trying to fit models with many parameters.

I am working on a PC with 2Gb of RAM and Windows XP installed.  I
already increased the memory limit in R, and the page file size in
Windows, to the maximum allowed (4095 Mb). I also defragmented my hard
drive, which has plenty of free space available.



Can anyone suggest a way around this problem?

Thanks,



Eric




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