[R] Erro: cannot allocate vector of size 216.0 Mb
Prof Brian Ripley
ripley at stats.ox.ac.uk
Mon Jul 21 10:35:42 CEST 2008
On Mon, 21 Jul 2008, Uwe Ligges wrote:
> Several questions:
>
> - Before we go ahead: Are you sure 3 Gb are sufficient for your problem?
> - Which OS (I guess Windows)?
(The only platform on which these functions are supported.)
> - Which version of R (let's assume R-2.7.1)?
> - Is your Windows 3GB enabled in the boot flags, or is it a 64-bit version of
> Windows?
(No, or the default memory limit would be higher than 1.5Gb. R by default
uses as high a memory limit as is sensible if (as here) the address space
is the limiting factor.)
>
>
> Best wishes,
> Uwe Ligges
>
>
>
> José Augusto Jr. wrote:
>> Please,
>>
>> I have a 2GB computer and a huge time-series to embedd, and i tried
>> increasing memory.limit() and memory.size(max=TRUE), but nothing.
>>
>> Just before the command:
>>
>>> memory.size(max=TRUE)
>> [1] 13.4375
>>> memory.limit()
>> [1] 1535.875
>>> gc()
>> used (Mb) gc trigger (Mb) max used (Mb)
>> Ncells 209552 5.6 407500 10.9 350000 9.4
>> Vcells 125966 1.0 786432 6.0 496686 3.8
>>
>>
>> I increased the memory limit:
>>
>>> memory.limit(3000)
>> NULL
>>> memory.limit()
>> [1] 3000
>>> memory.size()
>> [1] 11.33070
>>> memory.size(max=TRUE)
>> [1] 13.4375
>>> gc()
>> used (Mb) gc trigger (Mb) max used (Mb)
>> Ncells 209552 5.6 407500 10.9 350000 9.4
>> Vcells 125964 1.0 786432 6.0 496686 3.8
>>
>>
>> And even trying to increase the memory.limits, i still get and error.
>>
>> Any sugestions?
>>
>>
>> Thanks in advance.
>>
>> jama
>>
>> ______________________________________________
>> 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.
>
> ______________________________________________
> 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.
>
--
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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