Re: [R] poisson fit for histogram

From: Francisco J. Zagmutt <>
Date: Tue 26 Jul 2005 - 02:49:26 EST

Ups! Mr. Ripley is right. I ignored the OS in the posting. My appologies to Tom Isenbarger for the misleading answer.



>From: Prof Brian Ripley <>
>To: "Francisco J. Zagmutt" <>
>Subject: Re: [R] poisson fit for histogram
>Date: Sat, 23 Jul 2005 08:29:28 +0100 (BST)
>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
>>libraries rmutil and gnlm from Jim Lindsey at
>> decompress and store the files
>>your "library" folder. Sorry but you will have to donwload a package
>>unless you seriously want to re-invent the wheel.
>>Finally try
>>>From: Thomas Isenbarger <>
>>>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
>>>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,
>Professor of Applied Statistics,
>University of Oxford, Tel: +44 1865 272861 (self)
>1 South Parks Road, +44 1865 272866 (PA)
>Oxford OX1 3TG, UK Fax: +44 1865 272595 mailing list PLEASE do read the posting guide! Received on Tue Jul 26 02:53:06 2005

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