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 <[email protected]> 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 > [email protected] > > [[alternative HTML version deleted]] > > _______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-sig-teaching _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
