Don't use macro shift for this. It's not wrong,
but you have to worry about low-level details
which Stata will take care of for you. Just
use -foreach- to cycle through the variables.
foreach q of var q* {
foreach d of var d* {
svytab sex `q', row per ci subpop(`d')
...
}
}
or whatever. Your wildcards may differ subtly
(or even non-subtly) from q* and d*.
Nick
[email protected]
[email protected]
> I would like to use the 'svytab' command for a large number
> of items from a
> questionnaire, and run these results for a large number of
> subpopulations
> in my dataset. This is a survey of high school students, and for each
> item, I would like to run a table by sex and grade level. The
> subpopulations are the various school districts in the state.
> Using 'macro
> shift' I have written a program that will run 'svytab' for
> each item in the
> questionnaire, but I would like to use 'macro shift' at the
> same time to
> run the tables for each school district.
>
> The variables from the questionnaire items are in a local macro called
> 'quest'. (local quest q1 q2 q3 q4...).
> Each school district is represented by a dichotomous
> variable, with a '1'
> indicating a respondent from within the particular school
> district, and a
> '0' indicating a student from a different school district. The school
> districts are in a local macro called 'district'. (local
> district d1 d2 d3
> d4....)
> The output I want is a set of tables for each school district
> (subpop).
>
> This is the program I am using to run the tables, without referring to
> subpopulations:
>
> program define xtab
> while `1' ~= "" {
> svytab sex `1', row per ci
> svytab grade `1', row per ci
> macro shift
> }
> end
>
> The command I use to run all the tables is:
> xtab `quest'
>
> So the question is, how do I get this program to run all of
> the tables for
> each of the various subpopulations, without rewriting the
> program for each
> of the subpopulations?
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