[R] Error in memory.size(size) when calling R in batch mode (but not in interactive mode)

[Franckx Laurent]

Thank you for the hint.

In batch mode, I got:

R version 2.15.1 (2012-06-22)
Platform: i386-pc-mingw32/i386 (32-bit)

In interactive mode, I got:


R version 2.15.1 (2012-06-22)
Platform: x86_64-pc-mingw32/x64 (64-bit)


And I have found the cause. In my path, I had still included C:\R-2.15.1\bin\i386 (I had copied an old batch file, and overlooked this).

The problem is solved now.


-----Original Message-----
From: Milan Bouchet-Valat [mailto:nalimilan at club.fr]
Sent: vrijdag 9 november 2012 14:34
To: Franckx Laurent
Cc: 'r-help at r-project.org'
Subject: Re: [R] Error in memory.size(size) when calling R in batch mode (but not in interactive mode)

Le vendredi 09 novembre 2012 à 10:43 +0000, Franckx Laurent a écrit :
> Dear all
>
> I use a 64 bit Windows7 system with 16 GB memory.
> I have run an R script in batch mode with the following command:
>       R CMD BATCH  masterassignment_2012_11_09.r --save The execution
> was terminated with the following error message:
>
>         Error in memory.size(size) :  don't be silly!: your machine
> has a 4Gb address limit
>
>
> I never get this error message in an interactive session (and I don't
> think I should, taking into account the system). To be sure, I have
> just double checked this again in an interactive session, and it works
> fine.
>
> There are two possible explanations I can think of:
> a) The command line doesn't "know" the system, i.e. it "thinks" it
> works on a 32bit system (is this possible at all?)
> b) I run R on a remote desktop, and the command line thinks I am
> calling R from my laptop
c) When you run "R CMD BATCH", the 32-bit version of R is used, while when you run it interactively, you start the 64-bit version.

To check this, add sessionInfo() to your batch script, and have a look at the output.


Hope this helps

> Anyway, I wouldn't know how to solve this.
>
> In case you wonder why I run R in batch mode at all: I have a series
> of iterations in my model, each of which is taking huge amount of
> memory. Although I regularly impose a garbage collection, after two or
> three iterations, R crashes when used interactively. I thought that
> running and exiting R after each iteration would be the only effective
> way to "clean up" memory. If you have any other solutions, I would be
> happy to hear about them as well.
>
>
>
> Laurent Franckx, PhD
> VITO NV
> Boeretang 200, 2400 MOL, Belgium
> Tel. + 32 14 33 58 22
> Skype: laurent.franckx
> laurent.franckx at vito.be
> Visit our website: www.vito.be/english and
> http://www.vito.be/transport
>
>
>
>
>
>
> ________________________________
>  [http://www.vito.be/e-maildisclaimer/bsds.png]  <http://bsds.vito.be>
>
> VITO Disclaimer: http://www.vito.be/e-maildisclaimer
>
> ______________________________________________
> 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.

________________________________
 [http://www.vito.be/e-maildisclaimer/bsds.png]  <http://bsds.vito.be>

VITO Disclaimer: http://www.vito.be/e-maildisclaimer