Using geom_smooth()

Our logistic regression model can be visualized in the data space by overlaying the appropriate logistic curve. We can use the geom_smooth() function to do this. Recall that geom_smooth() takes a method argument that allows you to specify what type of smoother you want to see. In our case, we need to specify that we want to use the glm() function to do the smoothing.

However we also need to tell the glm() function which member of the GLM family we want to use. To do this, we will pass the family argument to glm() as a list using the method.args argument to geom_smooth(). This mechanism is common in R, and allows one function to pass a list of arguments to another function.

Create a scatterplot called data_space for Acceptance as a function of GPA. Use geom_jitter() to apply a small amount of jitter to the points in the \(y\)-direction. Set width = 0 and height = 0.05 in geom_jitter().
Use geom_smooth() to add the logistic regression line to data_space by specifying the method and method.args arguments to fit a logistic glm.

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Exercise

Using geom_smooth()

Instructions