in model.response(mf, "numeric") : using type = "numeric" with a factor response will be ignored

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in model.response(mf, "numeric") : using type = "numeric" with a factor response will be ignored

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AbhijitJ · Answer 1 · 2019-11-12T11:34:20+0000

Solution :

One can not use a linear regression model with a factor as response variable which is same you are attempting to do here . Regression models do require numeric response variables. So you should instead look at classification models.

You may wish to start by restating your "type" variable as a logical binomial variable. Instead of a factor called "type" with two levels "A" and "B", you may create a new variable called "is.type.a", which should contain TRUE or FALSE.

So you should try a logistic regression based on a binomial distribution as follows :

model <- glm(is.type.a ~ age + gender,data=data,family="binomial")

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