In a message dated 2/23/03 1:19:39 PM Eastern Standard Time, 
tlumley@u.washington.edu writes:

> On Wed, 19 Feb 2003 TyagiAnupam@aol.com wrote:
> 
> > Hi,
> > is there a way to analyze subpopulations (e.g. women over 50, those who
> > answered "yes" to a particular question) in a survey using Survey 
> package?
> > Other packages (e.g. Stata, SUDAAN) do this with a subpopulation option 
> to
> > identify the subpopulation for which the analysis shoud be done. I did 
> not
> > see this option in the Survey package. Is there another way to do this?
> >
> 
> Not directly.
> 
> This only really matters for svymean. For the regression models it's just
> a convenience as you can specify a model that has an interaction with the
> subpopulation indicator to get estimates and standard errors in the
> subpopulation.
> 
> For svymean you can use a regression model too:
> Instead of a hypothetical   svymean(~x, design=d, subpop=race==2)  do
>    svyglm(x~I(race==2)+0, design=d)
> 
> I need to work out if there's a general way to handle subpopulations or
> whether it needs to be coded on a case by case basis.
> 
> 
>     -thomas
> 

Thanks a lot for the answer.  Is there a way to get quantiles and 
cross-tabulations in subpopulations? If I think of proportion as mean of 
binary indicator (y: "got milk?"=1), can I use the solution above for 
proportions in subpopulations?
svyglm(y~I(race==2)+0, design=d)
If I create a binary indicator for a subpopulation (men over 50), can I use 
it with svytable?
svytable( ~y+z,design=d)
--anupam.

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Prediction is very difficult, especially about the future. 
                  -- Niels Bohr
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