A random sample from a lognormal can be generated directly by
. gen lognormal = exp(<mean> + <sd> * invnorm(uniform()))
Here replace <mean> and <sd> by variables or constants giving
the desired mean(s) and sd(s) of the logged variable.
I am not clear exactly what you mean by "within a ra[n]ge",
but some variation on this will get what you want.
(Naturally, this is the recipe used by -rndlogn-. In
the help file for that program, and in the code,
whenever it says variance, it means sd.)
Nick
[email protected]
Jose Marin
> I have a quick question.
> I am trying to generate a large number of random lognormal
> distributions with mean and standard deviation within a rage. I tried
> using mkbilogn and rndlgn but they generate distributions around the
> same inputted mean and standard deviation. I am a new Stata user.
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