Two possibilities : rescale your random vector, or resample to get
numbers within the range. But neither of these solutions will give you
a true exponential distribution. I am not aware of truncated
exponential distributions that are available in R, but somebody else
might know more about that.
# possibility I : rescaling
rsample <- rexp(5)
lim <- 0.8
rsample <- rsample*lim/max(rsample)
rsample
# possibility II : resampling
rsample <- rexp(5)
while(sum(rsample>lim)>0) {
rsample <- ifelse(rsample>lim,rexp(length(rsample)),rsample)
}
rsample
Cheers
Joris
On Wed, Jun 16, 2010 at 12:00 PM, Assieh Rashidi
<assiehrash...@yahoo.com> wrote:
>
> Dear Mr.
> for writing program about Gibbs sampling, i have a question.
> if i want to generate data from Exponential distribution but range of X is
> restricted, how can i do?
> regards,
> A.Rashidi
>
>
>
>
>
> [[alternative HTML version deleted]]
>
>
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>
>
--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control
tel : +32 9 264 59 87
joris.m...@ugent.be
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