Actually, I just realized that your suggestion isn't going to work. As I
am generating a sample based on each variable, and I have different
amounts of missing values for each variable, your command would drop all
observations that had any missing value for any one of the variables. I
only want to drop observations for that particular sample when missing
in that particular variable.
-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of David
McClintick
Sent: Sunday, October 29, 2006 8:13 PM
To: statalist@hsphsun2.harvard.edu
Subject: RE: st: Sample command question
Thanks, not sure why I didn't think of that.
-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Richard
Williams
Sent: Sunday, October 29, 2006 8:04 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Sample command question
At 07:48 PM 10/29/2006, David McClintick wrote:
>I have the written the following code to run a sample command on each
>one of my variables:
>
>local i=1
>foreach x in var1-var91 {
> while `i' <=10 {
> use c:\ado\personal\easy.dta
> sample 5, count
> save mewsample`i', replace
> local i= `i' +1
>}
>}
>
>However, I have a problem because there are missing values in each
list,
>and my random samples often return a missing value as one of their 5
>terms. What's the best way to exclude missing values from the sample
>generation?
Before the sample command, could you have something like
keep if !missing(`x')
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
FAX: (574)288-4373
HOME: (574)289-5227
EMAIL: Richard.A.Williams.5@ND.Edu
WWW (personal): http://www.nd.edu/~rwilliam
WWW (department): http://www.nd.edu/~soc
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