[R] Testing wether my dataset follows a poisson distribution with R

Bert Gunter bgunter@4567 @end|ng |rom gm@||@com
Wed Jul 22 06:50:57 CEST 2020

That is logically impossible.

You can only show that there is insufficient evidence (according to
whatever evidentiary criterion you have chosen) to show that the data were
*not* a (iid or other) sample from a Poisson. This may seem esoteric, but
it is not. (The simplest incantation is that you can reject, but not accept
a hypothesis in the classical N-P frequentist framework ). Given sufficient
data, you will almost always have enough evidence to be formally
inconsistent with any prechosen model/distribution. This does not mean that
the model is not useful, however.

Further discussion would meander even farther offtopic. These are
statistical (and philosophy of science) issues that don't properly belong
here. Mea culpa.

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 Tue, Jul 21, 2020 at 7:27 PM Paul Bernal <paulbernal07 using gmail.com> wrote:

> Dear friends,
> I have a sample dataset, which is basically the number of transits through
> a particular waterway, and is on a daily basis.
> MyDat <- dataset$DailyTransits
> What I´d like to do is to test whether MyDat follows a poisson distribution
> or not. What R function could accomplish this?
> Any help and/or guidance will be greatly appreciated,
> Best regards,
> Paul
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