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Re: st: "r(2000) sometimes, but the data are always the same" -- it was not a question about capture.


From   Austin Nichols <[email protected]>
To   [email protected]
Subject   Re: st: "r(2000) sometimes, but the data are always the same" -- it was not a question about capture.
Date   Fri, 10 Feb 2006 13:57:30 -0500

You seem to have mistakenly thought answers to the email:
   From: Joe McCrary <[email protected]>
   Date: Feb 10, 2006 11:27 AM
   Subject: st: How to keep a command running after a R(2000) error
(No Observations)

were answers to your question:
   From: Pablo Mitnik <[email protected]>
   Date: Feb 10, 2006 4:46 AM
   Subject: st: r(2000) sometimes, but the data are always the same

and completely ignored the actual response to your question:
  From: Austin Nichols <[email protected]>
  Date: Feb 10, 2006 5:42 AM
  Subject: Re: st: r(2000) sometimes, but the data are always the same
There seems to be no code representing the loop counter inside your
putative loop, and you don't seem to save estimation results, so I
can't see why you would be looping.  Perhaps you should -set trace on-
so you can see where the error occurs, and let us know both that info,
and what you are looping over and why...

as evidenced by #2 in your follow-up.  I would have guessed if you
choose to ignore the advice you do get the first time around, you're
unlikely to get more the second time around, but with two admonitions
to observe the rules of Statalist and one to read the subject lines of
posts, I appear to be wrong--you've already gotten 3 times as much
feedback as the first time.

On 2/10/06, Pablo Mitnik <[email protected]> wrote:
> Dear all,
>
> 1. Thank you very much all of you who answered my r(2000) question.
>
> 2. Observe, however, that I didn't ask for help with keeping the loop
> running. I   knew  how to deal with that  -- as you can see in the code
> attached, which I am sending in full this time, and which I didn't send
> in full before  because it didn't seem relevant to the question to me.
> Again, my question was:  how can it be that a few rounds of the loop
> produce a "no observations" error, but most don't, given that the data
> are exactly the same in all rounds.

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