R: Recipes for Analysis, Visualization and Machine Learning

Applying the Binomial model for generalized linear regression

For a binary dependent variable, one may apply a binomial model as the family object in the glm function.

Getting ready

The prerequisite of this task is to prepare a binary dependent variable. Here, we use the vs variable (V engine or straight engine) as the dependent variable.

How to do it...

Perform the following steps to fit a generalized linear regression model with the Binomial model:

1. First, we examine the first six elements of vs within mtcars:

   > head(mtcars$vs)
   [1] 0 0 1 1 0 1
   

2. We apply the glm function with binomial as the family object:

   > lm1 = glm(vs ~ hp+mpg+gear,data=mtcars, family=binomial)
   > summary(lm1)
   
   Call:
   glm(formula = vs ~ hp + mpg + gear, family = binomial, data = mtcars) ...