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# RE: st: RE: Membership (component) Determinant using FMM Command

 From Nick Cox To "'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

[...]

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.
>

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