Hello Hadi,
See ?rgamma
The Gamma distribution usually takes two parameters, shape and scale,
not the mean and st. deviation. If you have data, you can estimate
those parameters using MLE methods, which are nicely provided in MASS:
library(MASS)
fitdistr(yourdata,"Gamma")
Once you have your parameters you can generate random values using
rgamma i.e. rgamma(1000,10,1) will generate 1000 random samples from a
Gamma distribution with shape = 10 and scale = 1.
If you only have the mean and standard deviation you can approximate the
shape and scale parameters using:
scale=variance/mean
shape=mean^2/var
Remember the variance is equal to sd^2
I hope this helps,
Francisco J. Zagmutt
PS: Please read the posting guide (see the link at the bottom of this
email). It really helps people trying to help you :-)
Hadi Darzian Azizi wrote:> Hi there,
> I am relatively new user of R. I need to generate random number following
> Gamma distribution with mean 14 und st.dev 3. I read the help-text but I
can
> not understand it well.
>
> Regards,
> Azizi
>
> [[alternative HTML version deleted]]
>
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