Dear all:
I did the following because I was not sure what a logistic regression
fits ."small.glm" is a glm fit , setting the family to be binomial.
>fitted(small.glm)->p
>log(p/(1-p))->left
> for(i in 1:length(coef(small.glm))){
+ coef(small.glm)[i]*model.matrix(small.glm)[,i]->res[,i]
+ }
> apply(res,1,sum)->right
> plot(left,right) #I got a straight line whose slope was about 1
Therefore ,I am almost sure that what a logistic regression fits is
log(p/(1-p))~b0+b1*x.
Is that right?
Regards,
-----
Best regards,
Bin Yue
*************
student for a Master program in South Botanical Garden , CAS
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