Another possibility might be to have a CRAN Task View devoted
to tests.  The whole area is quite confusing and it would be nice
to have a central point for guidance.

On 30 Nov 2005 16:55:13 +0100, Peter Dalgaard <[EMAIL PROTECTED]> wrote:
> Gabor Grothendieck <[EMAIL PROTECTED]> writes:
>
> > What would be nice would be an R routine that automatically
> > implements this flowchart.
>
>
> I'd recommend learning about p.adjust and the multcomp package
> *instead* of following the flowchart. (Ignoring heteroscedasticity
> seems a bit silly too, given the availability of oneway.test(), and
> I'm not too happy about mechanistic dependency upon tests for
> normality either.)
>
> > On 11/30/05, Claus Atzenbeck <[EMAIL PROTECTED]> wrote:
> > > On Tue, 29 Nov 2005, Claus Atzenbeck wrote:
> > >
> > > > How do you calculate post hoc multiple comparisons tests with R for
> > > > normal distributed samples with different variances?
> > >
> > > In order to make it more visible, I have created an overview that shows
> > > my decision about what test I use. It is available at
> > > <http://cs.aaue.dk/~claus/temp/TestOverview.pdf>. What can I change that
> > > I still can use R to perform my test? (At the very bottom of the
> > > overview you see note about the missing tests in R.)
> > >
> > > Thanks for any comment.
> > > Claus
> > >
> > > ______________________________________________
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> > >
> >
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>
> --
>   O__  ---- Peter Dalgaard             Ă˜ster Farimagsgade 5, Entr.B
>  c/ /'_ --- Dept. of Biostatistics     PO Box 2099, 1014 Cph. K
>  (*) \(*) -- University of Copenhagen   Denmark          Ph:  (+45) 35327918
> ~~~~~~~~~~ - ([EMAIL PROTECTED])                  FAX: (+45) 35327907
>

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