I'll take the motivation here as given,
although clearly a separate discussion
on merits and demerits is possible.
There may be formal machinery to do this, but
I'd tend to proceed in an exploratory manner.
One key is to look at the conditional distributions
and see whether their properties change as expected.
Among other tools, you could look at a bundle
of cumulative distribution curves or kernel
estimates of density functions. -distplot- or -qplot- from
SSC have easy handles to draw graphs -by()-.
Nick
[email protected]
Agreed. But is there a non-parametric procedure, say the equivalent of
Stata's -ksm- (smoother) for binary outcomes?
