[R] plot - central limit theorem

[Greg Snow]

Look at the clt.examp function in the TeachingDemos package, it generates samples from normal, uniform, gamma (default exponential), and beta (default U-shaped) distributions and plots histograms of the means along with a reference line of a normal distribution with the same mean and sd.  The default sample size is 1 which will show the shape of the population, then you can run it again with larger values of n to show how all of them become more and more normal (the exponential is the slowest).

Hope this helps,

--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Jörg Groß
> Sent: Wednesday, October 15, 2008 1:49 PM
> To: r-help at r-project.org
> Subject: [R] plot - central limit theorem
>
> 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
>
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