Thanks! That's what I had come up with, but was unsure about it. I'm
checking the marginals against the published manuals now. Nice to have fresh
eyes on the problem! Thanks, also, for the helpful link.

On 10/4/05, Thomas Lumley <tlumley@u.washington.edu> wrote:
>
> On Tue, 4 Oct 2005, David L. Van Brunt, Ph.D. wrote:
>
> > Hello, all.
> >
> > I wanted to use the "survey" package to analyze data from the National
> > Ambulatory Medical Care Survey, and am having some difficulty
> translating
> > the analysis keywords from one package (Stata) to the other (R). The
> data
> > were collected using a multistage probability sampling, and there are
> > variables included to identify the sampling units and weights.
> Documentation
> > from the NAMCS describes this for Stata as follows (note the variable
> names
> > in the data are in caps):
> >
> > The pweight (PATWT), strata (CSTRATM), and PSU (CPSUM) are set with the
> > svyset command as
> > follows:
> > svyset pweight PATWT
> > svyset strata CSTRATM
> > svyset psu CPSUM
> >
>
> Supposing your data frame is called 'namcs'
>
> dnamcs <- svydesign(id=~CPSUM, strata=~CSTRATM, weight=~PATWT, data=namcs)
>
> or perhaps
>
> dnamcs <- svydesign(id=~CPSUM, strata=~CSTRATM, weight=~PATWT,
> data=namcs, nest=TRUE)
>
> (nest=TRUE is needed if CPSUM repeats the same values in different
> strata).
>
> Also, if you have access to design variables for the multistage design you
> can use them (but it probably won't make much difference). There's a very
> brief example using the National Health Interview Study at
> http://faculty.washington.edu/tlumley/survey/example-twostage.html
>
>
> -thomas
>



--
---------------------------------------
David L. Van Brunt, Ph.D.
mailto:dlvanbrunt@gmail.com

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