On Fri, 7 Nov 2003, Christoph Bier wrote:
> Peter Dalgaard wrote:
>
> > Well, the error message might be slightly beside the point, but the
> > issue would seem to be that there are no "ja"'s inside either vector.
> > I.e. it first reduces each factor to those levels that are actually
> > present, then checks whether there are at least two levels.
>
> Thanks for this explanation.
>
> > You can't do a chisquare test on a table that looks like this
> >
> > nein ja
> > nein 42 0
> > ja 0 0
> >
>
> Hm, and now? There is data like this and I need to do a chisquare
> test. Spencer's answer seems to be the solution.
> Is my data that uncommon, that chisq.test hasn't a built-in
> function to avoid this error?
>
It's not that your data are uncommon. Your data contain no information
about whether `ja' answers tend to occur together for the two variables,
because there no `ja' answers.
-thomas
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