
Thank you Gregory,
I know the package distR but the the percentiles that I have are from an unkonwn distribuition, and I think that the package distR only works with pre-defined distribuions.
 
Best Regards,
Ricardo Bessa> Subject: RE: [R] Sum of random values> Date: Fri, 25 Apr 2008 09:16:10 -0600> From: Greg.Snow@imail.org> To: bessa_ricardo@hotmail.com; r-help@r-project.org> > You might want to look at the distr package (and its relatives). It> provides methods for calculating the distribution function of> combinations (the sum is one) of other distributions. I'm not sure how> you would convert your percentiles to a distribution function, but there> may be a way in the documentation for distr and friends.> > -- > Gregory (Greg) L. Snow Ph.D.> Statistical Data Center> Intermountain Healthcare> greg.snow@imail.org> (801) 408-8111> > > > > -----Original Message-----> > From: r-help-bounces@r-project.org > > [mailto:r-help-bounces@r-project.org] On Behalf Of Ricardo Bessa> > Sent: Thursday, April 24, 2008 5:12 PM> > To: r-help@r-project.org> > Subject: [R] Sum of random values> > > > > > Hello,> > I have two random variables with their percentiles which > > correspond to their probability distribution function. My > > objective is to sum these two random variables. There exists > > any algorithm or procedure in R capable of converting the > > percentiles to a probability density function? is the fast > > Fourier transform function of R(fft) capable of doing the sum > > with a convolution?> > > > I'm just starting with this specific problem, so any help it > > will be very useful.> > > > Best regards,> > Ricardo Bessa> > > > _________________________________________________________________> > > > [[elided Hotmail spam]]> > > > [[alternative HTML version deleted]]> > > > ______________________________________________> > R-help@r-project.org mailing list> > https://stat.ethz.ch/mailman/listinfo/r-help> > PLEASE do read the posting guide > > http://www.R-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code.> > > 
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