Hi:
The r<dist> functions are vectorized, so the loop is unnecessary:
drift <- rbinom(55, 80, 0.4)
or within a function,
drift <- function(p0 = 0.4, N = 40, ngen = 55) rbinom(ngen, 2 * N, p0)
To repeat it 1000 times, you have at least two options:
(1) [1000 columns]
simmat <- replicate(1000, drift())
(2) [1000 rows]
simmat <- matrix(drift(0.4, 40, 1000 * 55), nrow = 1000)
HTH,
Dennis
On Sun, Apr 17, 2011 at 4:48 PM, Sclera <kn0wza...@gmail.com> wrote:
> Hello all,
>
> I currently have this function:
>
> drift <-function(p0=0.4,N=40,ngen=55){
> p = p0
> for( i in 1:ngen){
> p = rbinom(1,2*N,p)/(2*N)
> }
> return( p )
> }
>
> I want to repeat it 1000 times, then do some analysis on the results. I've
> tried using the rep() function, but that only gives me repeats of the first
> value of p. How can I get 1000 values of p for different iterations of the
> function?
>
> Thanks in advance
>
> --
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>
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