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: [EMAIL PROTECTED]> To: [EMAIL PROTECTED]; 
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> [EMAIL PROTECTED]> 
(801) 408-8111> > > > > -----Original Message-----> > From: [EMAIL PROTECTED] > 
> [mailto:[EMAIL PROTECTED] 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 pr!
 obability 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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