[R] Request for help re. opening workspace

Prof Brian Ripley ripley at stats.ox.ac.uk
Thu Jan 25 15:14:30 CET 2007


On Thu, 25 Jan 2007, Prof Brian Ripley wrote:

> This is I assume Windows?  If your version of Windows has the /3GB switch 
> set, try starting with
>
> Rgui --max-mem-size=2.5G
>
> (if not, that will probably not work) and see if the workspace will load 
> (slowly).
>
> Saved workspaces are compressed, often highly compressed.
>
> I have to say I am pretty unsure about this, as you appear to have saved a 
> 2023kb vector and how you manage to create that is unclear: perhaps you used 
> memory.limit?

(I misread that: so if you do not have the /3GB switch starting with 
--max-mem-size=2000M may help.)

>
>
> On Thu, 25 Jan 2007, Clough, Helen wrote:
>
>> Dear all,
>> 
>> I am wondering if someone can help me out of a pickle - forgive me if
>> there is an obvious solution to the following - I am not very proficient
>> in the more technical aspects of R.
>> 
>> I am working with a large data set in R, which for reasons of
>> housekeeping I normally remove upon finishing a session and read in
>> again at the next start-up, seeking to avoid problems with huge
>> workspaces. However, rather stupidly last time I forgot to do this, and
>> closed the session, which saved without complaint. However, now when I
>> try to start up, I get the following message:
>> 
>> Error: cannot allocate vector of size 2023kb
>> In addition: Warning messages:
>> 1: Reached total allocation of 1536Mb: see help(memory.size)
>> 2: Reached total allocation of 1536Mb: see help(memory.size)
>> 
>> followed by a window with a button which says
>> 
>> Fatal error: unable to restore saved data in .RData
>> 
>> and when I click "OK" obviously everything shuts down.
>> 
>> Is there anything I can do to resolve this?? The workspace itself
>> appears to be just over 100MB. I do have two backups, but I suspect that
>> the most recent one may be subject to the same problem, and the other is
>> rather older. I do have my routines etc. saved outside R but would
>> rather avoid a tedious process of re-entering code if I can.
>> 
>> Many thanks - all suggestions gratefully received,
>> 
>> Helen Clough
>> Lecturer in Risk Analysis,
>> National Centre for Zoonosis Research,
>> University of Liverpool
>> 
>> ______________________________________________
>> R-help at stat.math.ethz.ch 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.
>> 
>
>

-- 
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



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