R help - Jan 2002 - Fitting Distributions

I am new to R. So, please bear with me if this questions is already been
asked and answered.

I am looking for a R function that fit a dataset to common distributions
such as Normla, Log-Normal, Poisson, Weibull, and Beta. Basically I am
looking for ways to estimate distribution parameters rather than having to
write a program for it.

Thanks for your help.



T. S. Ramanarayanan
Aventis CropScience, RTP, NC, USA.
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Tharacad,
        this sort of question comes up fairly often.  A good way to
search for similar questions is at Jonathon Baron's site
http://finzi.psych.upenn.edu/search.html, and a really good way to begin
estimating distribution parameters in R is to look at a presentation
Peter Dalgaard once did and made available on a web site at
http://www.stat.wisc.edu/~bates/JSM2001.pdf 


Regards,
Robert Denham
> I am new to R. So, please bear with me if this questions is already
been
> asked and answered.
> I am looking for a R function that fit a dataset to common
distributions
> such as Normla, Log-Normal, Poisson, Weibull, and Beta. Basically I am
> looking for ways to estimate distribution parameters rather than
having to
> write a program for it.
> Thanks for your help.


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Thank you very much Robert Denhum & Prof. Ripley. The 'fitdistr'
works very
good and that is what I was looking for. I had to upgrade my R from 1.31 to
1.4.0 because 1.3x did not have fitdistr within the MASS package.

Now, how can I extract the parameters from the output. The help file states
that an object of class "fitdistr" with 2x2 matrix is produced. But
how can
I extract the estimated parameters from the output? shape.fitdistr or
similar commands dose not work. Thank you very much again.

T. S. Ramanarayanan, Ph.D.
Aventis CropScience
Research Triangle Park, NC 27709
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