In a message dated 2/23/03 1:19:39 PM Eastern Standard Time,
[EMAIL PROTECTED] writes:
> On Wed, 19 Feb 2003 [EMAIL PROTECTED] 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.
*********************************************************
Prediction is very difficult, especially about the future.
-- Niels Bohr
*********************************************************
[[alternate HTML version deleted]]
______________________________________________
[EMAIL PROTECTED] mailing list
http://www.stat.math.ethz.ch/mailman/listinfo/r-help
