[R] logit GLM without intercept

From: Robert Junker <r.junker_at_biozentrum.uni-wuerzburg.de>
Date: Mon, 21 Apr 2008 17:56:44 +0200

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

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Received on Mon 21 Apr 2008 - 16:49:42 GMT

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