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RE: st: Arranging variables across rows


From   tashi lama <ltashi32@hotmail.com>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Arranging variables across rows
Date   Wed, 27 Jun 2012 17:38:59 +0000

I am just curious.....the macros are declared to substitute "_n"(obs no). I would assume that we write replace D[`i'], A[`j'] and B[`k'] instead of D`i', A`j' etc. Am I missing sth here?

 

Thanx

----------------------------------------
> Date: Wed, 27 Jun 2012 18:26:18 +0100
> Subject: Re: st: Arranging variables across rows
> From: njcoxstata@gmail.com
> To: statalist@hsphsun2.harvard.edu
>
> 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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