[R] Normal distribution (Lillie.test())

[Bert Gunter]

...

But,quoting Pogo, "We have met the enemy, and he is us."

Normality tests are standard fare in a host of statistical texts.

Bert Gunter
Genentech Nonclinical Biostatistics
 
 

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On
Behalf Of Greg Snow
Sent: Thursday, February 25, 2010 9:00 AM
To: Bosken; r-help at r-project.org
Subject: Re: [R] Normal distribution (Lillie.test())

You should probably read fortune(117) and fortune(234) (and possibly some of
the original discussions that lead to the fortunes).  Reading the help page
for the SnowsPenultimateNormalityTest function (TeachingDemos package) may
also help.  If you are happy with the plots, but still feel the need for a
"test" of some sort, then you should investigate using the vis.test function
in the TeachingDemos package.

Hope this helps,

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Bosken
> Sent: Tuesday, February 23, 2010 4:13 AM
> To: r-help at r-project.org
> Subject: Re: [R] Normal distribution (Lillie.test())
> 
> 
> Hi,
> 
> Thanks for your reaction;
> 
> How do you come to the decision that my data not is normal distributed?
> 
> With the 69-95-99.7 test and Q-Q plot seems it ok! But these test are
> not
> exact, they only give you an image.
> 
> Gr. Bosken
> --
> View this message in context: http://n4.nabble.com/Normal-distribution-
> Lillie-test-tp1565083p1565762.html
> Sent from the R help mailing list archive at Nabble.com.
> 
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