From: S.O. Nyangoma <S.O.Nyangoma_at_amc.uva.nl>

Date: Tue 12 Jul 2005 - 19:06:39 EST

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Tue Jul 12 19:11:44 2005

Date: Tue 12 Jul 2005 - 19:06:39 EST

I use a 32 bit machine. For those using 64 bit machines,

what is the .Machine$double.xmin for for machines?

- Original Message ----- From: Achim Zeileis <Achim.Zeileis@wu-wien.ac.at> Date: Tuesday, July 12, 2005 10:51 am Subject: Re: [R] exact values for p-values - more information.

> On Tue, 12 Jul 2005, S.O. Nyangoma wrote:

*>
**> > > If they have the same degrees of freedom, use the test statistic
**> > > and not
**> > > the p value for comparing them.
**> > > Z
**> >
**> > I appretiate your input to this discussion. Do you know of a
**> reference> to your statement above?
**>
**> ?? Any basic statistics book? Distribution functions tend to be
**> monotonous.
**>
**> > I had actually used the test-statistic which in my case is r-
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squared

> > to compare them. This is in my view was adequate but I also

*> think it
**> > is more convincing to say something about the p-values
**>
**> Not really `more' convincing, it's all pretty equivalent when the
**> numberof estimated parameters is the same. You can also compare
**> the fitted
**> models via their associated residual sum of squares which I would
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find

> most intuitive because that is the objective function you are

*> trying to
**> minimize via OLS.
**> Z
**>
**> > (difficulties
**> > in computing them, and hence the rationale of solely using the
**> test-
**> > stat).
**> >
**> > regards. Stephen.
**> >
**> >
**> >
**>
*

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Tue Jul 12 19:11:44 2005

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