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.abne...@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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--
Brian D. Ripley, rip...@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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