Message-ID: <15695.38788.195751.659423@gargle.gargle.HOWL>
Date: 2002-08-06T09:31:48Z
From: Martin Maechler
Subject: Estimating Weibull parameters
In-Reply-To: <3D4F8CCE.7020505@iaew.rwth-aachen.de>
>>>>> "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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