Memory problem

Try memory.limit(512) which makes the computer think you got more than you
have. However I found this to slow the whole compluter down instead, so
the must be a problem with this fudge.

I would suggest for you to have a look the .RData file. If it is too
large, then you probably have unwanted objects. Best to remove these using
rm(). You can of course use a processor with more RAM or making your codes
memory efficient (using C etc).

Does anyone have a better solution ? I think it would be good to have a
webpage regarding this problem as this seems to be a main problem with
newbies such as myself wh have successfully used inefficient codes or
extremely long codes coupled with alarge datamatrix to play with. Just a
suggestion. Thanks.

Dear list

I am running a data simulation, which is needed to simulate up to a million
pieces of data.

I am getting the following memory error :

Error: cannot allocate vector of size 11 Kb
In addition: Warning message:
Reached total allocation of 255Mb: see help(memory.size)

I am running a PC with 256Mb RAM and R seems to be taking up the entire
allocation and is still not able to do the simulation.
Could anybody tell me how much RAM is needed for this sort of process and if
there is any way of allocating more memory to R.

Many thanks
Laura
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