Estimating Weibull parameters

"Hagen" == Hagen Schm?ller <Hagen.Schmoeller at iaew.rwth-aachen.de> writes:

Hagen> I have a vector of Weibull distributed observations
    Hagen> and I would like to estimate the parameters "shape"
    Hagen> and "scale" of the Weibull distribution.  Is there a
    Hagen> way to do this in R?

Yes, use the  fitdistr() function from the MASS package.
Its help file starts as

fitdistr                package:MASS                R Documentation

Maximum-likelihood Fitting of Univariate Distributions

Description:

     Maximum-likelihood fitting of univariate distributions, allowing
     parameters to be held fixed if desired.

Usage:

     fitdistr(x, densfun, start, ...)

Arguments:

       x: A numeric vector.

 densfun: Either a character string or a function returning a density
          evaluated at its first argument.

          Distributions `"beta"', `"cauchy"', `"chi-squared"',
          `"exponential"', `"f"', `"gamma"', `"log-normal"',
          `"lognormal"', `"logistic"', `"negative binomial"',
          `"normal"', `"t"', `"uniform"' and `"weibull"' are
          recognised, case being ignored.

Regards,

Martin Maechler <maechler at stat.math.ethz.ch>	http://stat.ethz.ch/~maechler/
Seminar fuer Statistik, ETH-Zentrum  LEO C16	Leonhardstr. 27
ETH (Federal Inst. Technology)	8092 Zurich	SWITZERLAND
phone: x-41-1-632-3408		fax: ...-1228			<><

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