Visualizing a recursive partitioning tree

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

Getting ready

You need to have the previous recipe completed by generating a classification model, and assign the model into variable fit.

How to do it…

Perform the following steps to visualize the classification tree:

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

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

   

   Figure 8: The classification tree of the customer dataset

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

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

   

   Figure 9: The recursive portioning tree in a different layout

How it works…

Here, we demonstrate how to use the plot function to graphically display a classification...