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
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