From p.dalgaard@kubism.ku.dk  Thu Aug 21 23:13:15 1997
From: p.dalgaard@kubism.ku.dk (Peter Dalgaard BSA)
Date: 22 Aug 1997 00:13:15 +0200
Subject: R-alpha: new class for chisquare tests?
In-Reply-To: Kurt Hornik's message of Thu, 21 Aug 1997 23:02:06 +0200
References: <199708212102.XAA03943@aragorn.ci.tuwien.ac.at>
Message-ID: <x2203nfamc.fsf@bush.kubism.ku.dk>

Kurt Hornik <hornik@ci.tuwien.ac.at> writes:

> 
> I sort of asked this before, but perhaps not explicitly enough.
> 
> In my ctest collection, there are several chisquare-based tests.  For
> some of them, it may be useful to also return information on expected
> (and observed) counts.  The question is, how should this be done.  Of
> course, there is no problem adding the corresponding components to the
> list returned by the functions.  However, as these are of class `htest',
> the components don't show up in the printed output.
> 
> (Of course, one can easily obtain them if they are in the list, but I
> think Peter is with me when I say that this is not the right thing in an
> intro course.)
> 
> * Should we extend print.htest() to display info on expected and
> observed counts in case it is there?
> 
> * (Should we have an extra argument to control this behavior?)
> 
> * Or should there be a class "chisqtest" with a slightly different print
> and perhaps also summary method?
> 
> * Or ...?

Couldn't the basic logic of print.lm/summary.lm/anova.lm be applied
here too? I.e.

h<-chisquare.test(blipblop)
observed(h)
fitted(h)
partials(h)

This might be implemented simply by adding items to the return list,
and have fitted.htest() extract the relevant item if it is there.

Or maybe slightly safer from a name-space point of view: add *one*
extra item ("comp", say) which is a list containing the other stuff.

-- 
   O__  ---- Peter Dalgaard             Blegdamsvej 3  
  c/ /'_ --- Dept. of Biostatistics     2200 Cph. N   
 (*) \(*) -- University of Copenhagen   Denmark      Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard@biostat.ku.dk)             FAX: (+45) 35327907
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R-alpha: new class for chisquare tests?
Peter Dalgaard BSA