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R: R: st: Bootstrapping new observations to add to an existing dataset


From   "Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>
To   <statalist@hsphsun2.harvard.edu>
Subject   R: R: st: Bootstrapping new observations to add to an existing dataset
Date   Mon, 22 Jun 2009 18:49:44 +0200

Dear Maarten,
thanks a lot for the correction.

I was thinking of the beta binomial conjugacy under the Bayesian framework.
But here the matter is different.

I do hope that everything is fine with you and hope to have the pleasant
chance to meet you again.

Kind Regards,
Carlo

-----Messaggio originale-----
Da: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Maarten buis
Inviato: lunedì 22 giugno 2009 17.51
A: statalist@hsphsun2.harvard.edu
Oggetto: Re: R: st: Bootstrapping new observations to add to an existing
dataset


--- On Mon, 22/6/09, Carlo Lazzaro wrote:
> you can use -invibeta- for creating random observation with
> given parameters a and b (in Stata 9.2/SE it goes like
> this: g A=invibeta(a,b,uniform()) for binary variables.

This will create a random variable from a continuous 
distribution (the beta distribution) whose values are bound
between 0 and 1. To create a binary variable you can type:
-gen A = runiform() < .5-. For more on this see:
Maarten L. Buis (2007) Stata tip 48: Discrete uses for 
uniform(). The Stata Journal, 7(3):434--435.
http://www.stata-journal.com/article.html?article=pr0032

Hope this helps,
Maarten

-----------------------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://home.fsw.vu.nl/m.buis/
-----------------------------------------




      

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