[R] R wont accept my zero count values in the GLM with quasi_poisson dsitribution

[Andrew Robinson]

You have selected the binomial family in the call to glm.  You should
instead try something like

 family=quasipoisson(link = "log")

I hope this helps

Andrew

On Tue, Jul 28, 2015 at 4:33 PM, Charlotte <
charlotte.hurry at griffithuni.edu.au> wrote:

> Hello
>
> I have count values for abundance which follow a pattern of over-dispersal
> with many zero values.  I have read a number of documents which suggest
> that
> I don't use data transforming methods but rather than I run the GLM with
> the
> quasi poisson distribution.  So I have written my script and R is telling
> me
> that Y should be more than 0.
>
> Everything I read tells me to do it this way but I can't get R to agree.
> Did I need to add something else to my script to get it to work and keep my
> data untransformed? The script I wrote is as follows:
>
> > fit <- glm(abundance~Gender,data=teminfest,family=binomial())
>
> then I get this error
> Error in eval(expr, envir, enclos) : y values must be 0 <= y <= 1
>
> I don't use R a lot so I am having trouble figuring out what to do next.
>
> I would appreciate some help
>
> Many Thanks
> Charlotte
>
>
>
>
>
>
> --
> View this message in context:
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> Sent from the R help mailing list archive at Nabble.com.
>
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-- 
Andrew Robinson
Deputy Director, CEBRA, School of Biosciences
Reader & Associate Professor in Applied Statistics  Tel: (+61) 0403 138 955
School of Mathematics and Statistics                        Fax: +61-3-8344
4599
University of Melbourne, VIC 3010 Australia
Email: a.robinson at ms.unimelb.edu.au
Website: http://www.ms.unimelb.edu.au/~andrewpr

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