[R-sig-teaching] Sample from Log-Normal Distribution

[Michael Weylandt]

You can test this yourself quite easily:

x <- rlnorm(1e6, meanlog=4)
mean(x)
mean(log(x))

Cheers,
Michael

> On Jul 12, 2015, at 7:40 PM, Steven Stoline <sstoline at gmail.com> wrote:
> 
> Dear All:
> 
> I need someone to clarify the value of the *meanlog* and *stlog* used in
> the function *rlnorm* when you sample from log-normal distribution.
> 
> rlnorm(n, meanlog = 0, sdlog = 1)
> 
> 
> 
> *For example: *y<- rlnorm(25, meanlog = 5, sdlog = 1)
> 
> 
> Is the value of the meanlog, *5*, the mean of the log-normal distribution.
> Similarly, is the value of the *sdlog*, *1*, the standard deviation of the
> log-normal distribution.
> 
> or 5 and 1 are the mean and standard deviation of the normal distribution
> of x = log(y) ~N(mean =5, var = 1)
> 
> with many thanks
> 
> steve
> 
> 
> -- 
> Steven M. Stoline
> 1123 Forest Avenue
> Portland, ME 04112
> sstoline at gmail.com
> 
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