Thanks Nick and Martin for the advice.
The reason I convert the variables into matrices in my code
is that the dependent variable is a spatially autocorrelated
generated variable for a predetermined weighting matrix). I
can't think of easier way other than converting these into
matrices.
Thanks Martin for pointing out the possibility to use
'simul'. Will give it ago.
Susan
> ---------- Forwarded message ----------
> From: Martin Weiss <[email protected]>
> Date: Thu, May 28, 2009 at 5:48 AM
> Subject: st: AW: RE: AW: Simulation in Stata
> To: [email protected]
>
>
>
> <>
>
> Probably true, in the absence of a declaration to the
> contrary from her... I did not seet through the code to
> arrive at this intention...
>
>
> HTH
> Martin
>
>
> -----Ursprüngliche Nachricht-----
> Von: [email protected]
> [mailto:[email protected]] Im Auftrag
> von Nick Cox Gesendet: Donnerstag, 28. Mai 2009 12:32
> An: [email protected]
> Betreff: st: RE: AW: Simulation in Stata
>
> My comment is a bit different. What Susan apparently user
> wants can be achieved by
>
> expand 10
> sort id_psu, stable
> gen no = _n
>
> In short, the -stable- option of -sort- is intended for
> this purpose.
>
> In a big dataset, that last should be
>
> gen long no = _n
>
> Nick
> [email protected]
>
> Martin Weiss
>
> [...]
>
> *************
> expand 10
> gen no = _n
>
> sort id_psu no
> drop no
> gen no = _n
> *************
>
> is too complicated as you first have Stata record the
> current sort order via
> "_n" , then -sort- on "id_psu" and then -drop- "no" - only
> to recreate it in
> the next step.
>
> [...]
>
>
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