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RE: st: Sample command question


From   "David McClintick" <[email protected]>
To   <[email protected]>
Subject   RE: st: Sample command question
Date   Sun, 29 Oct 2006 21:10:40 -0500

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: [email protected]
[mailto:[email protected]] On Behalf Of David
McClintick
Sent: Sunday, October 29, 2006 8:13 PM
To: [email protected]
Subject: RE: st: Sample command question

Thanks, not sure why I didn't think of that.

-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Richard
Williams
Sent: Sunday, October 29, 2006 8:04 PM
To: [email protected]
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:  [email protected]
WWW (personal):    http://www.nd.edu/~rwilliam
WWW (department):    http://www.nd.edu/~soc 

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