Hi Jay,
first: thank u very much for your comments! U made some very important points
clear. I tried immediately to write directly the sample function from
trade<-as.big.matrix(matrix(sample(c(1,-1), (N+1)*K, replace=TRUE),ncol=K),
backingpath=backingpath, backingfile="trade.bin",descriptorfil
On Aug 30, 2011, at 11:29 AM, Simon Zehnder wrote:
Hi David,
thank you very much for your advice! I updated R and all my
packages. Regrettably it doesn't work yet. But, I think, that the
parallel processing (using 32bit) does improve time, especially when
it comes to higher dimensions:
On Aug 27, 2011, at 3:37 PM, Simon Zehnder wrote:
Dear R users,
I am using R right now for a simulation of a model that needs a lot of
memory. Therefore I use the *bigmemory* package and - to make it
faster -
the *doMC* package. See my code posted on http://pastebin.com/dFRGdNrG
Now, if I
Simon,
Though we're please to see another use of bigmemory, it really isn't
clear that it is gaining you
anything in your example; anything like as.big.matrix(matrix(...))
still consumes full RAM for both
the inner matrix() and the new big.matrix -- is the filebacking really
necessary. It also do
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