[R] From THE R BOOK -> Warning: In eval(expr, envir, enclos) : non-integer #successes in a binomial glm!

[David Winsemius]

A) It is not an error, only a warning. Wouldn't it seem reasonable to  
issue such a warning if you have data that violates the distributional  
assumptions?

B) You did not include any of the data

C) Wouldn't this be more appropriate to the author of the book if this  
is "exactly what was suggested" there?

-- 
David,


On Mar 30, 2010, at 10:51 AM, Corrado wrote:

> Dear friends,
>
> I am testing glm as at page 514/515 of THE R BOOK by M.Crawley, that  
> is on proportion data.
>
> I use glm(y~x1+,family=binomial)
>
> y is a proportion in (0,1), and x is a real number.
>
> I get the error:
>
> In eval(expr, envir, enclos) : non-integer #successes in a binomial  
> glm!
>
> But that is exactly what was suggested in the book, where there is  
> no mention of a similar warning. Where am I going wrong?
>
> Here is the output:
>
> > glm(response.prepared~x,data=dddd,family=binomial)
>
> Call:  glm(formula = response.prepared ~ x, family = binomial, data  
> = dddd)
>
> Coefficients:
> (Intercept)            x    -0.3603       0.4480
> Degrees of Freedom: 510554 Total (i.e. Null);  510553 Residual
> Null Deviance:      24420
> Residual Deviance: 23240        AIC: 700700
> Warning message:
> In eval(expr, envir, enclos) : non-integer #successes in a binomial  
> glm!
> >
>
>
>
> Regards
> -- 
>
> Corrado Topi
> PhD Researcher
> Global Climate Change and Biodiversity
> Area 18,Department of Biology
> University of York, York, YO10 5YW, UK
> Phone: + 44 (0) 1904 328645, E-mail: ct529 at york.ac.uk
>
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David Winsemius, MD
West Hartford, CT