oops! found this further down in the help....
-listwise- specifies that the results of cmd should be determined for
as many observations as possible. Note that as a consequence the
number of observations used in each calculation may differ. By default
casewise deletion is used to ensure consistency in observations
selected.
On Mon, 22 Nov 2004 14:33:16 -0500, Daniel Egan <[email protected]> wrote:
> Thanks to Nick and Michael, but.....
>
> While the makematrix worked correctly, I ran into an interesting
> "quirk". It is something I need to fix, but one of the indicators has
> missing values for a substantial number of observations.)
>
> This causes problems with makematrix in the following manner:
>
> When I
> tab2 ill_*, chi2
> Stata goes variable by variable, and for those variables that have the
> full 18k obs, uses all obs. when it comes to ill_problem crosstabs, it
> reduces to 15k because of missings.
>
> However, when doing
> makematrix testchi, from(r(chi2)): tab2 ill_*, chi2
> _all_ of the calculation are based on the smallest common sample size,
> or the 15k.
>
> This doesn't matter too much to me, since there shouldn't be missings
> in the indicator, but it might be good to issue a caution about it.
>
> FYI, the only reason I noticed was because the diagonal _was_ the
> smaller observation size (15K). I do not know why the diagonal was the
> number of observations - does this have to do with makematrix or chi2?
>
> Cheers, and thanks again
>
> Dan
>
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