[R] glm-test?
Atte Tenkanen
attenka at utu.fi
Fri Jun 11 16:14:44 CEST 2010
Thanks!
Atte
> Take a look at this document:
> http://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf
>
> All information you need is in there.
> Cheers
> Joris
>
> On Fri, Jun 11, 2010 at 2:50 PM, Atte Tenkanen <attenka at utu.fi> wrote:
> > I would have tried z-test (n=67) but since the distribution is not
> normally distributed, but positive skew, I should somehow transform
> the data? Values are between 0 and 1.
> >
> > atte
> >
> >> Which test do you want to use? Once you know that, tell us and we'll
> >> tell you where to find it in R.
> >>
> >> Cheers
> >> Joris
> >>
> >> On Fri, Jun 11, 2010 at 1:50 PM, Atte Tenkanen <attenka at utu.fi> wrote:
> >> > Dear R-users,
> >> >
> >> > I would like to test, whether a sample distribution differs
> >> significantly from a population distribution. They are not normally
> >> distributed. How should I proceed? Using somehow glm-models? How?
> >> > The population and the sample data are here. They can be loaded
> >> using the load-command.
> >> >
> >> > http://users.utu.fi/attenka/D_Pop
> >> > http://users.utu.fi/attenka/D_Samp
> >> >
> >> > Best regards,
> >> >
> >> > Atte Tenkanen
> >> > University of Turku, Finland
> >> > Department of Musicology
> >> > +35823335278
> >> > http://users.utu.fi/attenka/
> >> >
> >> > ______________________________________________
> >> > R-help at r-project.org mailing list
> >> > https://stat.ethz.ch/mailman/listinfo/r-help
> >> > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> >> > and provide commented, minimal, self-contained, reproducible code.
> >> >
> >>
> >>
> >>
> >> --
> >> Joris Meys
> >> Statistical consultant
> >>
> >> Ghent University
> >> Faculty of Bioscience Engineering
> >> Department of Applied mathematics, biometrics and process control
> >>
> >> tel : +32 9 264 59 87
> >> Joris.Meys at Ugent.be
> >> -------------------------------
> >> Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
> >
>
>
>
> --
> Joris Meys
> Statistical consultant
>
> Ghent University
> Faculty of Bioscience Engineering
> Department of Applied mathematics, biometrics and process control
>
> tel : +32 9 264 59 87
> Joris.Meys at Ugent.be
> -------------------------------
> Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
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