Try `goodfit' in package `vcd'.
g.,
-d
Mag. David Meyer Wiedner Hauptstrasse 8-10
Vienna University of Technology A-1040 Vienna/AUSTRIA
Department of Tel.: (+431) 58801/10772
Statistics and Probability Theory Fax.: (+431) 58801/10798
On Sat, 29 Mar 2003, Fernando Henrique Ferraz wrote:
>
> I have a dataset which I want to model using a Poisson distribution, with a given
> parameter. I would like to know what is the proper way to do a 'goodness of fit'
> test using R.
> I know the steps I'd take if I were to do it 'manually': grouping the numbers
> into classes, calculating the expected frequencies using 'ppois', then calculating
> Chi_2_obs = Sum (e_i - o_i)^2/e_i) (where e_i represents the expected frequencies
> and o_i the observeds ones) and then finally calculating the p-value (using pchisq).
> I've read a lot of documentation, also tried googling for 'goodness of fit R' but
> it was helpless, most of it is only about 'regression analysis'. Does anyone know if
> there is a simpler way to do this?
>
>
> Thank you,
>
>
> <Fernando Henrique Ferraz Pereira da Rosa - [EMAIL PROTECTED]>
>
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