Dear R Expert
allow me to ask a quick qestion: I have a mean value of 6 and a SD of 3
describing my distribution. I would like to "convert" this distribution into a
log normal distribution that would best describe it when resimulated using log
normal distribution. Currently I am using another software to estimate the
respective mean and SD on the log scale and the results are: 1.6667 and SD
0.47071. Then, to best reproduce my original distribution in R, I use the
following commands:
c <- rlnorm(5000,1.6667,0.47071)
d <- exp(c)
mean(c)
sd(c)
and the results for mean and SD are 5.92 and 2.94 (original 6 and 3),
respectively, which I am reasonably happy with. I would like to grow
independent of the another software I use, but am unable to figure out how to
generate the values of 1.6667 and 0.47071 using R. could someone please help me
with this question?
thanks,
Andras
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