plot.PPimportance: Variable importance plot of 'PPTreereg'

In sunsmiling/PPtreeregViz: Projection Pursuit Regression Tree Visualization

Variable importance plot of PPTreereg

Description

Visualize importance measure of trained PPTreereg model.

Usage

## S3 method for class 'PPimportance'
plot(x, marginal = FALSE, num_var = 5, ...)

Arguments

x	an importance object of the class PPimpobj, created with PPimportance function
marginal	plot global importance. Default value is FALSE.
num_var	number of variables to show.
...	arguments to be passed to methods

Details

To visualize the variable importance values of PPTreereg model, two types of plots are provided - importance of variables for each final node and global variable importance.

Value

An object of the class ggplot

Examples

data(dataXY)
Model <- PPTreereg(Y~., data = dataXY, DEPTH = 2)
Tree.Imp <- PPimportance(Model)
plot(Tree.Imp)
plot(Tree.Imp, marginal = TRUE)

sunsmiling/PPtreeregViz documentation built on Oct. 12, 2023, 11:15 a.m.