hope this helps. spencer graves
Lourens Olivier Walters wrote:
Thanks for the help, the wrapper function was very useful. I managed to
solve the problem using Spencer Graves' suggestion. I am analyzing the
interarrival times between HTTP packets on a campus network. The dataset
actually has more than 14 Million entries! It represents the traffic
generated by approximately 3000 users browsing the web for 30 days. I
have to be careful to always remove unused objects from my workspace,
but otherwise I have so far managed to cope with 512Mb of memory on a
Pentium 600Mhz.
Lourens
On Tue, 2003-09-30 at 23:25, Ben Bolker wrote:
PS. 11 MILLION entries??
On Tue, 30 Sep 2003, Ben Bolker wrote:
Spencer Graves's suggestion of using shape and scale parameters on a log scale is a good one.
To do specifically what you want (check values for which the objective function is called and see what happens) you can do the following (untested!), which makes a local copy of dgamma that you can mess with:
dgamma.old <- dgamma
dgamma <- function(x,shape,rate,...) {
d <- dgamma.old(x,shape,rate,...)
cat(shape,rate,d,"\n")
return(d)
}
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