Ups! Mr. Ripley is right. I ignored the OS in the posting. My appologies to Tom Isenbarger for the misleading answer.
Regards Francisco >From: Prof Brian Ripley <[EMAIL PROTECTED]> >To: "Francisco J. Zagmutt" <[EMAIL PROTECTED]> >CC: [EMAIL PROTECTED], r-help@stat.math.ethz.ch >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 >>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 <[EMAIL PROTECTED]> >>>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, [EMAIL PROTECTED] >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 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html