[R] Goodness of fit tests
meyer at ci.tuwien.ac.at
Sat Mar 29 21:33:10 CET 2003
Try `goodfit' in package `vcd'.
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 - mentus at gmx.de>
> R-help at stat.math.ethz.ch mailing list
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