--- Daniel Rubenson <[email protected]> wrote:
> I'm not sure your suggestion does what I want. Don't I have to make
> new predictions for the different values of my variable, minority
> (instead of simply plotting minority==0 and minority==1)?
Did you try the example as it says in
http://home.fsw.vu.nl/m.buis/stata/exampleFAQ.html#work ? Do that, and
you will see that it does what you want. To understand why read the
helpfile of -adjust-.
> And let's say I also want 95%CI for the plots?
*-------------------- begin example --------------------
webuse bangladesh, clear
xtmelogit c_use urban age child* || district:
adjust child1=0 child2=0 child3=0, se gen(xb se)
gen pr = invlogit(xb)
gen lb = invlogit(xb - invnormal(.975)*se)
gen ub = invlogit(xb + invnormal(.975)*se)
sort urban age
twoway rarea lb ub age if urban == 0 || ///
rarea lb ub age if urban == 1 || ///
line pr age if urban == 0 || ///
line pr age if urban == 1, ///
legend(order(3 "rural" ///
4 "urban" ))
*------------------- end example ------------------------
(For more on how to use examples I sent to the Statalist, see
http://home.fsw.vu.nl/m.buis/stata/exampleFAQ.html )
Hope this helps,
Maarten
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
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