Generating Heavy and Light Tailed Normal Variates
Sorry, but you need to do some studying of statistical theory. The normal/Gaussian distribution has a fixed kurtosis of 3.0. **There is no kurtosis parameter.** Again, this is not the place for such discussions. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Dec 16, 2016 at 8:09 AM, Dan Abner <dan.abner99 at gmail.com> wrote:
Hi Bert, Thank you for the response. Let me re-phrase: What is the most efficient way to generate variates from a unimodal symmetric distribution that are leptokurtic or platykurtic in R? There does not appear to be a kurtosis parameter for rnorm(). Thanks all, Dan On Fri, Dec 16, 2016 at 10:15 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote:
There is no such thing as "heavy and light tailed normal variates." The normal distribution is normal, period. Ask this on stats.stackexchange.com. It is about statistics not R, and a sensible answer heavily depends on the context you have in mind. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Fri, Dec 16, 2016 at 6:45 AM, Dan Abner <dan.abner99 at gmail.com> wrote:
Hi all,
I need to generate heavy and light-tailed normal variates separately for
demonstration purposes. I figure for the heavy-tailed, I will just
generate
variates from a t distribution with low degrees of freedom. How does one
generate light-tailed normal variates?
Thanks,
Dan
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