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AW: st: AW: generate lognormal RV less than 20000 observations.


From   "Martin Weiss" <martin.weiss1@gmx.de>
To   <statalist@hsphsun2.harvard.edu>
Subject   AW: st: AW: generate lognormal RV less than 20000 observations.
Date   Fri, 9 Apr 2010 10:15:10 +0200

<> 

Well, you do not have to -set obs-, it is done for you. The variable
generated by the command is called "xlgn", and you can -rename- it to any
legal Stata variable name you want...



HTH
Martin


-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von sun samn
Gesendet: Freitag, 9. April 2010 10:09
An: statalist@hsphsun2.harvard.edu
Betreff: RE: st: AW: generate lognormal RV less than 20000 observations.


Hi, Martin,
   Thanks for your help! could you tell me how return that 500 observations
to a variable like we do for normal distribution:
set obs 500
gen x1=rnormal()


Thanks a gain!
samn 






----------------------------------------
> From: martin.weiss1@gmx.de
> To: statalist@hsphsun2.harvard.edu
> Subject: st: AW: generate lognormal RV less than 20000 observations.
> Date: Fri, 9 Apr 2010 09:50:36 +0200
>
>
> <>
>
> So this function is part of a series of random number generators published
> by J. Hilbe and W. Linde-Zwirble, and accessible via -findit rndlgn-. What
> makes you think you need 20,000 obs? Just say:
>
> *************
> rndlgn 500 0 0.5
> *************
>
> Even if it did require 20,000 initially, you could still -keep in
1/500-...
>
> HTH
> Martin
>
> -----Ursprüngliche Nachricht-----
> Von: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von sun samn
> Gesendet: Freitag, 9. April 2010 09:45
> An: statalist@hsphsun2.harvard.edu
> Betreff: st: generate lognormal RV less than 20000 observations.
>
>
> Hi, folks,
>    I know the function ' rndlgn' can generate lognormal RVs, but it
requires
> the numbers of observation to be at 20000. Now, I want a list of only 500.
> What should I do then?
> thanks,
> samn
>
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