On 10/15/2008 3:48 PM, Jörg Groß wrote:
Hi,
Is there a way to simulate a population with R and pull out m samples,
each with n values
for calculating m means?
I need that kind of data to plot a graphic, demonstrating the central
limit theorem
and I don't know how to begin.
The easiest way to do this is to put the simulations into a matrix, and
calculate row means (or column means). For example:
par(mfrow=c(2,2))
m <- 10000
for (n in c(1,2,4,8)) {
sims <- matrix(runif(n*m), ncol=n)
means <- rowMeans(sims)
hist(means, main=paste("n = ", n), xlim=c(0,1))
}
Duncan Murdoch
So, perhaps someone can give me some tips and hints how to start and
which functions to use.
thanks for any help,
joerg
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