Re: [R] question from environmental statistics

From: Francisco J. Zagmutt <gerifalte28_at_hotmail.com>
Date: Mon 18 Jul 2005 - 15:32:17 EST


Dear Dev

I believe you may need some conceptual guidance in probability theory and statistics rather than help with a specific R function to solve your analysis. May I recomend you to visit the statistic consulting office in your campus or perhaps review a textbook on applied probability.

Best wishes

Francisco

>From: pantd@unlv.nevada.edu
>To: r-help@stat.math.ethz.ch
>CC: gerifalte28@hotmail.com
>Subject: [R] question from environmental statistics
>Date: Fri, 15 Jul 2005 18:03:15 -0700
>
>thanks Fran. that was useful but Im still in a fix. its a real life data
>which
>looks like this:
>0.9
>10.9
>24.0
>6.7
>0.6
>1.0
>2.4
>12.4
>7.9
>15.8
>1.4
>7.9
>11000.0
>
>(benzene conc. taken after WTC attacks)..its just a small chunk of data i
>pasted
>for you to look at.
>its neither normal nor lognormal. someone told me that qq plot does help in
>determining the distribution. im not sure how to get it.
>
>can someone help me in this.
>
>thanks
>
>
>
>Take a look at this document by Vito Ricci:
>http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf
>
>Did you try RSiteSearch("Fit distribution") or a Google search? That will
>lead you to fit.dist{gnlm} and fitdistr{MASS}
>
>Cheers
>
>Francisco
>
>
> >From: pantd@unlv.nevada.edu
> >To: r-help@stat.math.ethz.ch
> >Subject: [R] question from environmental statistics
> >Date: Thu, 14 Jul 2005 14:06:45 -0700
> >
> >
> >
> >Dear R users
> >I want to knw if there is a way in which a raw dataset can be modelled by
> >some
> >distribution. besides the gof test is there any test involving gamma or
> >lognormal that would fit the data.
> >
> >thank you
> >
> >-dev



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 Received on Mon Jul 18 15:37:28 2005

This archive was generated by hypermail 2.1.8 : Fri 03 Mar 2006 - 03:33:46 EST