what actually a logistic regression fits
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
View this message in context: http://www.nabble.com/what-actually-a-logistic-regression-fits-tf4960618.html#a14207920 Sent from the R help mailing list archive at Nabble.com.