Logistic regression (aka logit regression or logit model) was developed by statistician David Cox in 1958 and is a regression model where the response ... ... <看更多>

fit = glm(vs ~ hp, data=mtcars, family=binomial) newdat <- data.frame(hp=seq(min(mtcars$hp), max(mtcars$hp),len=100)) newdat$vs ... ... <看更多>

I suggest to use the Hosmer-Lemeshow goodness of fit test for logistic regression which is implemented in the ResourceSelection library with the hoslem.test ... ... <看更多>