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RE: st: RE: variable naming problem


From   Nick Cox <[email protected]>
To   "'[email protected]'" <[email protected]>
Subject   RE: st: RE: variable naming problem
Date   Mon, 6 Sep 2010 17:05:26 +0100

Something like this? 

foreach var of varlist yU yD{
	sum `var' if e(sample), meanonly 
	local mmean`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 j in mean 25 50 75 {
	local i m`j'yU 
      foreach q in mean 25 50 75 {
		local p m`q'yD 
		gen c`j'_`q' = _b[_cons]+_b[yU]*(`i')+_b[yU2]*((`i')^2/2) ///
		+_b[yD]*(`p')+_b[yD2]*((`p')^2/2) if e(sample)
	}
}

Nick 
[email protected] 

Thomas

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.

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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