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Re: st: re: logistic function


From   John Ataguba <johnataguba@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: re: logistic function
Date   Thu, 18 Jun 2009 17:32:20 +0000 (GMT)

Thanks Kit.  

Are the mu and s mean and standard deviations of the predictions? I'm not clear on this. 

Thanks for the assistance

Regards

 
 
Jon   



----- Original Message ----
From: Kit Baum <baum@bc.edu>
To: statalist@hsphsun2.harvard.edu
Sent: Thursday, 18 June, 2009 19:24:24
Subject: st: re: logistic function

<>
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.


Kit Baum   |   Boston College Economics & DIW Berlin   |  http://ideas.repec.org/e/pba1.html
                              An Introduction to Stata Programming  |  http://www.stata-press.com/books/isp.html
   An Introduction to Modern Econometrics Using Stata  |  http://www.stata-press.com/books/imeus.html



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