Hi Brian,
Thanks for the answer. I guess ill move to a 64-bit linux. I did RTFM, but
didnt find it as informative as your reply, or amusing ;)
Maybe the FAQ can be modified a bit for clarity.
Thanks.
Best,
Vishwa
On Sun, Jan 18, 2009 at 3:55 AM, Prof Brian Ripley <rip...@stats.ox.ac.uk>wrote:
> Please RTFM, specifically the rw-FAQ and ?"Memory-limits". The short
> answer is that your OS is your problem, and using a decent 64-bit OS will
> solve this (so why should the very limited resources of the R developers be
> spent working on this?)
>
> People who must use Windows may like to be aware that at least one 64-bit
> Windows port of R is likely this year, and so think about using 64-bit
> Windows where appropriate. That will even help with the problem below by
> doubling the address space (as explained in the rw-FAQ).
>
> On Sat, 17 Jan 2009, Vishwa Goudar wrote:
>
> Hi,
>>
>> Im using R-2.8.1 on windows vista and have 4GB RAM. Im trying to run LDA
>> from the MASS package on a fairly large dataset and keep running out of
>> memory ("Cannot allocate vector of size ...)
>>
>> Ive tried freeing up as much memory as possible with gc(). I tried using
>> the
>> ff package but that would need modifications to the way LDA accesses the
>> memory mapped data. The error I get is "invalid 'type' (list) for variable
>> ..."
>>
>> Basically, I need someone's help on how I can force R to use the large
>> swaths of empty space on my hard drive as virtual memory. As I understand
>> it, virtual memory increases the address space. So, why isnt R capable of
>>
>
> Your understanding is completely incorrect.
>
> using my hard drive. I dont mind the hit in performance. How do I get this
>> to work? And if I cant why cant I?
>>
>
> All you need to do is to rewrite your OS and the compiler. Easy for someone
> who know better than Microsoft about virtual memory ....
>
>
>> Any help would be sincerely appreciated.
>>
>> Thanks in advance!
>> VG
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
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>>
>
> PLEASE do: sending HTML mail shows that you lacked the courtesy to do so.
>
>
> --
> Brian D. Ripley, rip...@stats.ox.ac.uk
> Professor of Applied Statistics,
> http://www.stats.ox.ac.uk/~ripley/<http://www.stats.ox.ac.uk/%7Eripley/>
> 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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