[R] Goodness fit test HELP!

[Berton Gunter]

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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> 
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