[R] Sampling in R
Liaw, Andy
andy_liaw at merck.com
Thu Mar 23 14:03:25 CET 2006
From: Sean Davis
>
> On 3/23/06 5:52 AM, "Noam Friedman" <noamfrie at qos.net.il> 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 (pop. size) =100
> >
> > Each sample can't contain the same observation more than one time
> > (i.e. the program needs to check if the obs. has already
> been sampled
> > into the sample - it it has, it should put it back and sample again
> > another obs.)
> >
> > obviously I need to do this with replacement.
> >
> > Then, I need to draw (I think the best is with a histogram) the
> > distribution of the mean of each os the 200 samples.
> >
> > I guess I need to do a loop for the 'sample' function in R.
>
> That sounds correct.
>
> > I could really use your help.
>
> x <- rnorm(100)
> meanvec <- vector()
> for (j in 1:200) {
> y <- sample(x,9)
> meanvec[j] <- mean(y)
> }
> hist(meanvec)
If the samples are not needed beyond the calculations Noam mentioned,
then this might save some memory:
samp.means <- replicate(200, mean(sample(x, 9)))
hist(samp.means)
Andy
> If this example code doesn't get you started, then you will
> probably need to be more specific about where you are getting stuck.
>
> Sean
>
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