Goodness fit test HELP!

This is an "iceberg" question -- most of it (i.e. statistical issues) is
hidden beneath the surface.

To avoid a lengthy dissertation on statistical philosophy, I would merely
suggest:

1. 
require(lattice)
?qqmath

2. With that many points  **any** test for a specific distributional form
will be rejected. Goodness of fit tests are essentially meaningless in this
context. This is a somewhat contentious assertion that might generate heated
disagreement. What a lawyer would call "argumentative." ;-) 

Cheers,

-- Bert Gunter
Genentech Non-Clinical Statistics
South San Francisco, CA
 
"The business of the statistician is to catalyze the scientific learning
process."  - George E. P. Box

-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch 
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of David Zhao
Sent: Thursday, November 17, 2005 9:45 AM
To: r-help at stat.math.ethz.ch
Subject: [R] Goodness fit test HELP!

Hi there,

I'm a newbie, plesae bear with me.
I have a dataset with about 10000 ~ 30000 data points. Would 
like fit to
both Gamma and Normal distribution to see which one fits 
better. How do I do
this in R? Or I could do a normality test of the data, if 
it's normal, I
then will do a normal fit, otherwise, a gamma fit. But again, 
I don't know
how to do this either.
Please help!

David

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