# Re: [R] Weibull distribution

From: Leaf Sun <leaflovesun_at_yahoo.ca>
Date: Sat 22 Jul 2006 - 07:33:07 EST

Thanks!

Leaf

From: Thomas Lumley, tlumley@u.washington.edu Sent: 2006-07-21, 09:35:11
To: Valentin Dimitrov, vsdimitrov@yahoo.com Subject: Re: [R] Weibull distribution

On Fri, 21 Jul 2006, Valentin Dimitrov wrote:

> Dear Leaf,
>
> I modified your code as follows:
>
> gamma.fun <- function(mu,sd,start=100)
> {
> f.fn <- function(alpha)
> {abs(sd^2-mu^2/(gamma(1+1/alpha))^2*(gamma(1+2/alpha)-(gamma(1+1/alpha))^2))}
> alpha <- optim(start, f.fn)
> beta <- mu/gamma(1+1/alpha\$par)

> return(list=c(a=alpha\$par,b=beta));
> }
>
> Now it works properly.
>
> First, I added an abs(). You tried to solve an
> equation by means of the R-function optim(), which
> finds a minimum. That's why you can find the solution
> of f(x)=a through minimization of abs(f(x)-a).
> Second, I deleted the optim-method BFGS from the
> optim() function, because it is not appropriate in
> this case.

optim() is not appropriate at all in this case -- its help page says to use optimize() for one-dimensional problems.

In fact, in one dimension there isn't any need to resort to optimization when you really want root-finding, and uniroot() is more appropriate than optimize().

-thomas

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