Re: [R] glm-test?

From: Joris Meys <jorismeys_at_gmail.com>
Date: Fri, 11 Jun 2010 15:43:57 +0200

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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Received on Fri 11 Jun 2010 - 13:47:05 GMT

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