# Re: [R] Quantile function for the generalized beta distribution of the 2nd kind

From: Florent Bresson <f_bresson_at_yahoo.fr>
Date: Mon 12 Dec 2005 - 21:12:39 EST

The problem was with the use of the integrate command for the definition of the cdf of the generalized beta of the second kind. I solved the problem with a transformation of the function qbeta. I then used an optimize command but using uniroot is maybe nicer. So my function is :

qgbeta2 <- function(proba,b,a,p1,p2) { val <-qbeta(proba,p1,p2)

```                b*(uniroot(function(z) {z/(z+1)-val},
```
lower=0, upper=10000000,
tol=.Machine\$double.eps^20)\$root)^(1/a) }

The code is maybe not pretty but it works perfectly. I just regret that it is not possible to fix the upper limit of uniroot to Inf.

Thanks for help

• Prof Brian Ripley <ripley@stats.ox.ac.uk> a écrit :

> Don't you want to use uniroot() to find quantiles?
> It is the usual way.
>
> Note that if you use integrate(), the result is not
> guaranteed to be
> smooth function of the parameters. I may well help
> to decrease the
> tolerances.
>
> > but it doesn't work
>
> Please see the posting guide, and tell us useful
> precisely happened.
>
> On Sun, 11 Dec 2005, Florent Bresson wrote:
>
> > I have succeded in defining the cdf of the
> generalized
> > beta of the second kind, eg.
> >
> > pgbeta2 <- function(quint,b,a,p1,p2) {
> > integrate(function(x)
> >
>
{exp(log(a)+(a*p1-1)*log(x)-(a*p1)*log(b)-log(beta(p1,p2))-(p1+p2)*log(1+(x/b)^a))},0,quint)\$value
> > }
> >
> > but I'm facing problems with the quantile
> function. I
> > tried something like
> >
> > qgbeta2 <- function(proba,b,a,p1,p2) {
> > optimize(function(z)
> > {(proba-pgbeta2(z,b,a,p1,p2))^2},lower=0,
> > upper=10^200) }
> >
> > but it doesn't work. I tried with other non linear
> > optimization command like optim but it is
> apparently
> > not the solution.
> > Any idea ?
> >
> > ______________________________________________
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> http://www.R-project.org/posting-guide.html
> >
>
> --
> Brian D. Ripley,
> ripley@stats.ox.ac.uk
> Professor of Applied Statistics,
> http://www.stats.ox.ac.uk/~ripley/
> University of Oxford, Tel: +44 1865
> 272861 (self)
> 1 South Parks Road, +44 1865
> 272866 (PA)
> Oxford OX1 3TG, UK Fax: +44 1865
> 272595
>

R-help@stat.math.ethz.ch mailing list