I agree, naturally. But my only point is that for anyone who is thinking
"I need to invert the logistic", it is one natural Stata answer.
Nick
[email protected]
Kit Baum
Nick pointed out invlogit(), which does not appear in the function
list of density functions, but of math functions. Quite so, but it
doesn't save much typing:
local cum1 1/(1+exp(-((_b[_cons]+ _b[trunk]*mut + _b[mpg]*mum +
_b[d]*1) - mu)/s))
scalar onea = invlogit((_b[_cons]+ _b[trunk]*mut + _b[mpg]*mum +
_b[d]*1 - mu)/s)
will indeed generate the same values, but you still have to compute mu
and s and include them in the function argument.
In my prior example I had the line
gen d = (runiform()>0.7)
which did not appear in the posting.
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