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Re: AW: st: RE: variable naming problem
From
Thomas <[email protected]>
To
[email protected]
Subject
Re: AW: st: RE: variable naming problem
Date
Tue, 07 Sep 2010 09:43:45 +0100
Thomas
On 06/09/2010 16:33, Martin Weiss wrote:
<>
" 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: [email protected]
[mailto:[email protected]] Im Auftrag von Thomas
Gesendet: Montag, 6. September 2010 17:10
An: [email protected]
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
[email protected]
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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