[R] Brown-Forsythe F* Statistic

[Paul Lynch]

You're right-- I think we're not talking about the same thing.  It
looks to me like the hov() function in the HH package is a test for
whether or not the variances are different.  What I was looking for
was a test (also by Brown-Forsyth, and referred to as the F* statistic
in my textbook) for testing whether means are different-- a test
useful for the case where the distribution is non-normal (e.g. skewed)
and the variances are unequal.

On Wed, Apr 16, 2008 at 3:18 PM, Peter Dalgaard
<p.dalgaard at biostat.ku.dk> wrote:
>
> Richard M. Heiberger wrote:
>
> > The Brown-Forsyth test is included in the HH library in function hov().
> > hov is "homogeneity of variance".
> > Use
> >   hov(y ~ x, data=mydata)
> > and
> >   plot.hov(y ~ x, data=mydata)
> >
> >
> >
>  Are you guys talking about the same thing? One seems to be talking about a
> modified F test for comparison of means, the other about comparison of
> variances.
>
>
> > Rich
> >
> > ______________________________________________
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> > and provide commented, minimal, self-contained, reproducible code.
> >
> >
>
>
>  --
>   O__  ---- Peter Dalgaard             Øster Farimagsgade 5, Entr.B
>   c/ /'_ --- Dept. of Biostatistics     PO Box 2099, 1014 Cph. K
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>
>
>



-- 
Paul Lynch
Aquilent, Inc.
National Library of Medicine (Contractor)