Visualizing a recursive partitioning tree

From the last recipe, we learned how to print the classification tree in a text format. To make the tree more readable, we can use the plot function to obtain a graphical display of a built classification tree.

Getting ready

One needs to have the previous recipe completed by generating a classification model, and to assign the model into the churn.rp variable.

How to do it...

Perform the following steps to visualize the classification tree:

1. Use the plot function and the text function to plot the classification tree:

        > plot(churn.rp, margin= 0.1)
        > text(churn.rp, all=TRUE, use.n = TRUE)

The graphical display of a classification tree

2. You can also specify the uniform, branch, and margin parameter to adjust the layout:

        > plot(churn.rp, uniform=TRUE, branch=0.6, margin=0.1)
        > text(churn.rp, all=TRUE, use.n = TRUE)

Adjust the layout of the classification tree

How it works...

Here, we demonstrate how to use the plot function...