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.
On Mon, 30 Sep 2002 Bayesianbay at aol.com wrote:
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 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
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