Hi all!
I was wondering if you can help me with a little sampling issue I'm
having in R.
I have a database with 100 observations.
I need to sample n=9 sample size, 200 times (i.e. get 200 samples of
size 9).
N (pop. size) =100
Each sample can't contain the same observation more than one tim
Does the following what you want:
x <- 1:100
s <- matrix(0, nrow=200, ncol=9)
for (i in 1:200) {
s[i, ] <- sample(x, 9)
}
m <- rowMeans(s)
hist(m)
The default behavior of sample is without replacement.
Thomas
Noam Friedman wrote:
> > Hi all!
> >
> >
> > I was wondering if you can help me w
On 3/23/06 5:52 AM, "Noam Friedman" <[EMAIL PROTECTED]> wrote:
> Hi all!
>
>
> I was wondering if you can help me with a little sampling issue I'm
> having in R.
>
> I have a database with 100 observations.
> I need to sample n=9 sample size, 200 times (i.e. get 200 samples of
> size 9).
> N
I prefer the function resample as it is given in the sample help, in this
way:
resample <- function(x, size, ...)
{
if length(x <= 1) {if (!missing(size) && size == 0) x[FALSE] else x}
else sample(x, size, ...)
}
Anyway, if an observation can not be twice in the sample, you have to use
replace=
From: Sean Davis
>
> On 3/23/06 5:52 AM, "Noam Friedman" <[EMAIL PROTECTED]> wrote:
>
> > Hi all!
> >
> >
> > I was wondering if you can help me with a little sampling issue I'm
> > having in R.
> >
> > I have a database with 100 observations.
> > I need to sample n=9 sample size, 200 times (
