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.
So, perhaps someone can give me some tips and hints how to start and
which functions to use.
thanks for any help,
joerg
x <- runif(10000,0,1)
y <- runif(10000,0,1)
z <- runif(10000,0,1)
u <- runif(10000,0,1)
v <- runif(10000,0,1)
w <- runif(10000,0,1)
t <- x+y+z+u+v+w
hist(t,breaks=100,xlab="sum of i.i.d r.v with finite mean and
variance",ylab="Frequency",main="")
Change runif for the corresponding function of the distribution of your
choice.
Not exactly what you wanted but it does verify the C.L.T.
Rubén
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