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

[Wensui Liu]

based on your code "fit <-
glm(abundance~Gender,data=teminfest,family=binomial())", i don't see
anything related to quasi_poisson. are you sure what you are doing
here?

On Tue, Jul 28, 2015 at 1:33 AM, 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
>
>
>
>
>
>
> --
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-- 
WenSui Liu
https://statcompute.wordpress.com/