<>
To see my argument, run
****
//drop the thing
capt prog drop sim
//program definition
program define sim // , rclass
version 10.1
drop _all
set obs 800
gen split = runiform()>.33
cou if !split
end
//simulation
simulate N=r(N), reps(1000): sim
//get proportion instead of count
gen prop=N/800
//summarize results
su prop, d
kdensity prop, xli(0.33)
****
HTH
Martin
_______________________
----- Original Message -----
From: "Martin Weiss" <[email protected]>
To: <[email protected]>
Sent: Sunday, April 12, 2009 10:59 PM
Subject: Re: st: random split
<>
"exactly a third of observations in the desired group"
How do you know that the split will be exact. Even leaving aside the
question whether ".33" is close enough to one third to warrant the
statement, the uniform number generator will still be noisy, i.e. the true
proportion will most likely be different from 1/3...
HTH
Martin
_______________________
----- Original Message -----
From: "Rafal Raciborski" <[email protected]>
To: <[email protected]>
Sent: Sunday, April 12, 2009 10:54 PM
Subject: Re: st: random split
gen split = runiform()>.33
or a variation thereof to make sure you have exactly a third of
observations in the desired group
On Sun, Apr 12, 2009 at 4:48 PM, Galina Hayes <[email protected]> wrote:
Hello everyone,
I want to randomly split a data set of 800 or so observations into two
groups, with 1/3rd of observations in the first group and 2/3rds in the
second group, and am blanking on how to do this. Can anyone help?
Thanks,
Galina
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