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From | Nick Cox <n.j.cox@durham.ac.uk> |
To | "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu> |
Subject | RE: st: RE: Membership (component) Determinant using FMM Command |
Date | Thu, 17 Feb 2011 16:16:16 +0000 |
The syntax of -predict- is always that you predict a _new_ variable. So, if -age- is already a variable in your dataset, your command won't work, and you need to specify a name of a new variable. BTW, I believe "Deb" is Partha's surname, or family name. Otherwise put, Partha Deb is not Deb Partha. Nick n.j.cox@durham.ac.uk Allen Young [...] Thanks Deb for the reply. I tried the following syntax: predict age if e(sample), equation(component1). I got a response that age is already defined. Did l do something wrong? Is predvar not my regressors? [...] On Wed, Feb 16, 2011 at 5:52 PM, Partha Deb <partha.deb@hunter.cuny.edu> wrote: > > After you have parameter estimates from -fmm-, you can get predictions of > various types using the following syntax: > > predict predvar if e(sample), equation(component#) > > where predvar is the predicted variable name and component# is component1, > component2, ... > > or predictions of posterior probabilities using > > predict predvar if e(sample), post equation(component#) > > Once you have the posterior probabilities, you can use the ranking of the > posterior probabilities to assign an observation into a class. In the 2 > component case, this is equivalent to checking whether the posterior > probability of being in component1 is > (<) 0.5. > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/