Thanks for the info - so the solution would (likely) be to draw several
samples and use these whenever I need a new one.
tHANKS, i'LL TRY IT OUT,
rAINER
P.S: somebody said once that the caps-lock key is the most useless key
on the keyboard and he is right...
Prof Brian Ripley wrote:
> I think the problem is not sample (which is written in C), but that you
> are calling it with size=1. Taking one sample with probabilities from a
> large discrete distribution is necessarily slow, but you can take a large
> sample for little more cost.
>
> On Thu, 14 Jun 2007, Rainer M. Krug wrote:
>
>> Hi
>>
>> I have a simulation which is relatively slow. I used Rprofile() and
>> identified the calls to sample() as the culprit is sample():
>>
>>> summaryRprof("Documents/PostDoc/Aloe_Pillansii/R/create.out")
>> $by.self
>> self.time self.pct total.time total.pct
>> "sample" 1.30 44.2 1.52 51.7
>> "ifelse" 0.46 15.6 2.44 83.0
>> .
>> .
>> .
>>
>> I am using sample() as follow:
>> result <- sample(
>> x=d.growth.seedling$growth,
>> size=1,
>> prob=d.growth.seedling$p,
>> replace
>> )
>>
>> d.growth.seedling$p and d.growth.seedling$growth have a length of 1024
>> and are calculated initially by using density().
>>
>> My question: is there any way to make this faster, i.e. replace sample()
>> as I use it with another faster algorithm (if necessary implemented in C)?
>>
>> Thanks in advance,
>>
>> Rainer
>>
>>
>
--
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Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation
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Leslie Hill Institute for Plant Conservation
University of Cape Town
Rondebosch 7701
South Africa
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