> I what to generate N random numbers(integer) that are different from each
> other.
> One suggestion:
>
> tabel <- rep(NULL, N)
> for (i in 1:N){
> temp <- as.integer(runif(1,1,max))
> if(temp in tabel) {
> repeat (?) (temp <- as.integer(runif(i,i,max)))
> until (?) ((temp in tabel) ==FALSE)
> }
> else{ tabel[i] <- temp}
>
> I can't use repeat/until - don't exist....
repeat ... until loops can be rewritten as while loops.
The easiest way is this:
# n unique random numbers between min and max
sample(min:max, n)
But maybe you don't want to generate the array min:max for some reason
(because it is really large?). Then you can do the whole thing yourself:
# another way to the same result
left <- n
tab <- NULL
while (left > 0) {
new <- as.integer(runif(left, min, max))
tab <- unique(c(tab, new))
left <- n - length(tab)
}
If max-min is really large and n is not much smaller than max-min you
may want to generate more numbers than you actually need so unique()
leaves you with more results and you don't have to iterate so often...
cu
Philipp
--
Dr. Philipp Pagel Tel. +49-89-3187-3675
Institute for Bioinformatics / MIPS Fax. +49-89-3187-3585
GSF - National Research Center for Environment and Health
Ingolstaedter Landstrasse 1
85764 Neuherberg, Germany
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