Re: st: Arranging variables across rows

[Nick Cox <njcoxstata@GMAIL.COM>]

Given your determination to keep your present data structure, I can
also suggest a clumsy way to do it. The precise code is untested.

forval i = 1/19 {
           gen D`i' = 0
           forval j = 1/19 {
                      forval k = 1/8 {
                           replace D`i' = 1 if A`j' == B`k' & B`k' < .
                     }
           }
}

Nick

On Wed, Jun 27, 2012 at 5:10 PM, samuel gyetvay <sam.gyetvay@gmail.com> wrote:
> Thank you for all your help, I feel I am already making some progress.
>
> I realize, however, that I was not perfectly clear or explicit about
> the form or structure of my data. Your responses so far are still very
> useful and appropriate.
>
> A1, ... A19, B1, ... B8 are names of (column) variables, each of which
> contain ~12,000 entries. There exists a variable that identifies
> families, call it fam, although it does not always identify family
> uniquely. There does exist a variable that identifies family
> respondent, however, call it famr. fam and famr are also column
> variables, each of which contain ~12,000 entries.
>
> For the moment, my analysis is quite simple; it only requires some row
> and column summation, and the current form of the data is quite nice
> for what I have to do (for the most part). Nearly all of the variables
> that I need to use are just like A1, ... A19. For example, a set of
> variables that identify "sex of child," call them C1, ... C19 overlap
> perfectly with A1, ..., A19, and you can easily control for sex of
> child when doing row and column summation, because their positions
> coincide. For example, the third value of C13 will identify the sex of
> the same child as the third value of A13.
>
> B1, ... B8 is the only problematic variable, because it does not
> overlap: it merely indicates which child identification number
> received treatment. So you cannot use a simple command such as
>
> . count if A`j' == B`j'
>
> Which I can do for other variables. What I would like to do is to
> create dummy variables D1, ..., D19 equal to 1 when the child has
> received treatment, and 0 otherwise. That way I can use it just like I
> used C1, ..., C19.
>
> I apologize for not being more clear from the start, and appreciate
> everything you have suggested thus far.
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