R help archive: Re: [R] poisson fit for histogram

Re: [R] poisson fit for histogram

From: Prof Brian Ripley <ripley_at_stats.ox.ac.uk>
Date: Sat 23 Jul 2005 - 17:29:28 EST

What does fit.dist do that fitdistr (MASS) does not in this context? (It plots, but that is very easy to do in base R. However, to see if a Poisson fits you need a test of goodness-of-fit.)

BTW, `decompress and store the files in your "library" folder' is on no OS (you did not mention one but Thomas did) the way to install a package. Even on Windows (where it might just work) there are simpler and better ways to do it, like using a menu. Note that Lindsey does not provide pre-compiled packages for MacOS X, the platform Thomas is using (and as they use Fortran, people have reported that they are tricky to install on MacOS X), and your recipe is `seriously' misleading there.

On Fri, 22 Jul 2005, Francisco J. Zagmutt wrote:

> I would first reccomend you to update your version of R. Then download the
> libraries rmutil and gnlm from Jim Lindsey at
> http://www.luc.ac.be/~jlindsey/rcode.html decompress and store the files in
> your "library" folder. Sorry but you will have to donwload a package
> unless you seriously want to re-invent the wheel.
> Finally try
> library(gnlm)
> ?fit.dist()
>
> Cheers
>
> Francisco
>
>
>> From: Thomas Isenbarger <isen@plantpath.wisc.edu>
>> To: r-help@stat.math.ethz.ch
>> Subject: [R] poisson fit for histogram
>> Date: Wed, 20 Jul 2005 10:40:51 -0500
>>
>> I haven't been an R lister for a bit, but I hope to enlist someone's
>> help here. I think this is a simple question, so I hope the answer
>> is not much trouble. Can you please respond directly to this email
>> address in addition to the list (if responding to the list is
>> warranted)?
>>
>> I have a histogram and I want to see if the data fit a Poisson
>> distribution. How do I do this? It is preferable if it could be
>> done without having to install any or many packages.
>>
>> I use R Version 1.12 (1622) on OS X
>>
>> Thank-you very much,
>> Tom Isenbarger

-- 
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

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Received on Sat Jul 23 17:44:26 2005

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