[R] Simulation

[Mike Lawrence]

If you want k samples of size n, why generate k*n samples and put them
in a k-by-n matrix where you can do what you want to each sample:

k = 10
n = 100
x=matrix(rnorm(k*n),k,n)
rowMeans(x)

If you need to do more complex things to each sample and if k is large
enough that you don't want the matrix sitting around in memory while
you do these things, you could also check out ?replicate .

On Wed, May 13, 2009 at 12:13 PM, Debbie Zhang <debbie0621 at hotmail.com> wrote:
>
>
> Dear R users,
>
> Can anyone please tell me how to generate a large number of samples in R, given certain distribution and size.
>
> For example, if I want to generate 1000 samples of size n=100, with a N(0,1) distribution, how should I proceed?
>
> (Since I dont want to do "rnorm(100,0,1)" in R for 1000 times)
>
>
>
> Thanks for help
>
>
>
> Debbie
>
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-- 
Mike Lawrence
Graduate Student
Department of Psychology
Dalhousie University

Looking to arrange a meeting? Check my public calendar:
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~ Certainty is folly... I think. ~