[R] Memory issue. XXXX

[Prof Brian Ripley]

On 02/03/2012 23:36, steven mosher wrote:
> 1. How much RAM do you have (looks like 2GB ) . If you have more than 2GB
> then you can allocate
>      more memory with memory.size()

Actually, this looks like 32-bit Windows (unstated), so you cannot.  See 
the rw-FAQ for things your sysadmin can do even there.

> 2. If you have 2GB or less then you have a couple options
>
>      a) make sure your session is clean of unnecessary objects.
>      b) Dont read in all the data if you dont need to ( see colClasses  to
> control this )
>      c) use the bigmemory package or ff package
>      d) buy more RAM

Most importantly, use a 64-bit OS to get a larger real address space. 
(bigmemory and ff are mainly palliative measures for those whose OS does 
not provide a good implementation of out-of-memory objects).

>
> On Fri, Mar 2, 2012 at 6:57 AM, Dan Abner<dan.abner99 at gmail.com>  wrote:
>
>> Hi everyone,
>>
>> Any ideas on troubleshooting this memory issue:
>>
>>> d1<-read.csv("arrears.csv")
>> Error: cannot allocate vector of size 77.3 Mb
>> In addition: Warning messages:
>> 1: In class(data)<- "data.frame" :
>>   Reached total allocation of 1535Mb: see help(memory.size)
>> 2: In class(data)<- "data.frame" :
>>   Reached total allocation of 1535Mb: see help(memory.size)
>> 3: In class(data)<- "data.frame" :
>>   Reached total allocation of 1535Mb: see help(memory.size)
>> 4: In class(data)<- "data.frame" :
>>   Reached total allocation of 1535Mb: see help(memory.size)
>>
>>
>> Thanks!
>>
>> Dan
>>
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>
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>
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-- 
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)
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