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

[Göran Broström]

On 28/07/15 08:33, Charlotte 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.

No,  R  is telling you that you must have 0 <= y <= 1 (see below).
For count data you should not use the binomial family, but rather 
'poisson', or 'quasipoisson'.

?family

Göran

> 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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>
>
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