Dear Austin,
Thank you for this kind reply as well. I am actually svyset'ing by 3
different weights (by census sampling unit, by high school id, and by an
individual weight), so I didn't try the summarize command, though it
certainly crossed my mind. Similar to this, there is the outsum program
http://www.people.cornell.edu/pages/klp27/ written by one of my former
colleagues at Cornell, Kerry Paps, that also create output tables and
allows for some weights.
Thanks Austin, Claire
-----Original Message-----
From: Austin Nichols [mailto:[email protected]]
Sent: Thursday, July 19, 2007 3:09 PM
To: [email protected]
Subject: Re: st: svy: mean and descriptive tables
Claire--
This horse may have died before I arrived on the scene, but let me add
to
Jeff's exhaustive comments that the mean and sd are also available
from -summarize- by treating your pweights as aweights (see
http://www.stata.com/support/faqs/stat/supweight.html for more).
So you could use r(mean) and r(sd) after -su- like so:
cap prog drop msd_tab
prog msd_tab
version 8
syntax varlist
local w: char _dta[pweight]
local k : list sizeof varlist
di as txt %12s "Variable" _c
di as txt %10s "N" _c
di as txt %12s "Mean" _c
di as txt %12s "Std. Dev."
forval i = 1/`k' {
local var : word `i' of `varlist'
qui su `var' [aw=`w']
di as txt %12s "`var'" _c
di " " as res %9.0g r(N) _c
di " " as res %9.0g r(mean) _c
di " " as res %9.0g r(sd)
}
end
webuse nhanes2, clear
msd_tab smsa height weight bpsystol bpdiast tcresult tgresult
On 7/19/07, Claire Kamp Dush <[email protected]> wrote:
> Dear Statalist,
> Per Nick's message (st: "Thanks in advance" and closure of threads),
let
> me wrap up my thread and say that Jeff Pitblado and Michael Blasnik
> along with Emma Slaymaker were so kind to reply to me and my original
> problem is well-solved with these programs. As a new programmer, it
is
> incredibly helpful to get this kind of help and it pushes me much
> further on the path to programming these kinds of complicated programs
> myself, so I thank you for your goodwill towards me and patience as I
> try to learn.
> Claire Kamp Dush
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