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AW: st: RE: variable naming problem


From   "Martin Weiss" <martin.weiss1@gmx.de>
To   <statalist@hsphsun2.harvard.edu>
Subject   AW: st: RE: variable naming problem
Date   Mon, 6 Sep 2010 17:33:59 +0200

<> 
" To get a prediction at a specific point using -predict- I suppose I need 
the if option."


I am not so sure: Do you want to restrict the observations for which you
-predict-, or do you want to hold variables at certain values? 



HTH
Martin

-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Thomas
Gesendet: Montag, 6. September 2010 17:10
An: statalist@hsphsun2.harvard.edu
Betreff: Re: st: RE: variable naming problem

respect to the things over which the loop runs.
And these things are numbers. I do not see how I can name differently.

To get a prediction at a specific point using -predict- I suppose I need 
the if option. But as the model is quiet long and many variables drop 
out -generate- involves less code.

Thomas


On 06/09/2010 15:45, Nick Cox wrote:
> Only decimal points are problematic. Integer digits are allowed in
variable names after the first character. The remedy is to use evocative
names rather than numbers nevertheless. Only you can decide which names are
best for your purpose.
>
> Why aren't you using -predict-?
>
> Nick
> n.j.cox@durham.ac.uk
>
> Thomas
>
> after a regression I would like to generate predictions for different
> values of the original variables.
>
> The first loop generate various scaled mean values.
>
> The second and third loop then generate the predictions c* for the
> various scaled means.
>
> The problem is how to name c*. Now the names include numbers which Stata
> does not accept (error: invalid name).
>
> Any ideas how I can get around this?
>
> ________________
>
> foreach var of varlist yU yD{
>       sum `var' if e(sample)
>       local m`var' = `r(mean)'
>       local m25`var' = 0.25*`r(mean)'
>       local m50`var' = 0.5*`r(mean)'
>       local m75`var' = 0.75*`r(mean)'
>       local m2`var' = 2*`r(mean)'
>       local m3`var' = 3*`r(mean)'
>       local m4`var' = 4*`r(mean)'
>       }
>
>       foreach i in `myU' `m25yU' `m50yU'{
>           foreach p in `myD' `m25yD' `m50yD'{
>               gen c`i'_`p' = _b[_cons]+_b[yU]*(`i')+_b[yU2]*((`i')^2/2)
///
>               +_b[yD]*(`p')+_b[yD2]*((`p')^2/2) if e(sample)
>           }
>       }
>
>
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