<>
This is how you could "make the return list permanent" with -postfile-.
Substitute a permanent instead of a -tempfile- if desired.
*************
*Example, postfile as temp
use http://www.stata-press.com/data/r10/nlswork.dta, clear
* make sure nothing left over
cap postutil clear
di in red _rc
*get temps
tempname hdle
tempfile info
postfile `hdle' occ min max mean using `info'
*cycle through the levels of occ, in your case "state"
levels occ_co, local(myloc)
qui foreach lev of local myloc{
*substitute "income" for "hours"
su hours if occ_co==`lev', meanonly
post `hdle' (`lev') (r(min)) (r(max)) (r(mean))
}
postclose `hdle'
preserve
use `info', clear
list, noo sep(0)
restore
*************
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Brent Fulton
Gesendet: Montag, 13. April 2009 21:44
An: [email protected]
Betreff: st: RE: AW: summarize variables without collapsing
Thank you, Martin. The issue is that -return list- only gives the last
state.
In the interim I figured out an alternative.
bysort state: gen stateobs=_n
su income if stateobs==1
-Brent
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Martin Weiss
Sent: Monday, April 13, 2009 12:32 PM
To: [email protected]
Subject: st: AW: summarize variables without collapsing
<>
Easy answer:
*************
by state, sort : summarize income, detail
*************
Does that do what you want? If not, why not?
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Brent Fulton
Gesendet: Montag, 13. April 2009 21:26
An: [email protected]
Betreff: st: summarize variables without collapsing
Dear Statalist,
I am using Stata 9.2 and have a dataset with 10,000 individuals who each
reside in one of 50 states. I have individual-level (e.g., race) and
state-level variables (e.g., a state's average income).
Is there a way to summarize the average income (calculate mean, min, max,
sd, etc.) for the 50 states without collapsing the data by state?
Thanks,
Brent Fulton
UC Berkeley
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