[R] logit GLM without intercept

[Robert Junker]

Dear Statisticians,

 

I would like to analyse my data with a GLM with binomial error distribution
and logit link function. The point is that I want a model fitted without
intercept, i.e. the fitted curve should start at y=0.5 for x=0. 

I tried it with the following code: 

 

glm(value~0+ppm, binomial)

 

Does this code yield the correct model or is there another possibility? I’d
appreciate it very much if you could help me out with this. I attached some
example data.

 

 

Thanks & all the best

   Robert

 

 

 

 

 

--------------------
Robert Junker
Department of Animal Ecology & Tropical Biology 
University of Würzburg Biozentrum, Am Hubland
97074 Würzburg, Germany



 

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