plotImp: Create a barplot of relative variable importance scores.

In anna-neufeld/splinetree: Longitudinal Regression Trees and Forests

Description

Given a named vector of variable importance measures, this function makes a barplot of the relative importances. The importances are scaled to sum to 1. An appropriate input is one column of the output from varImpY() or varImpCoeff().

Usage

plotImp(importance_vector, ...)

Arguments

importance_vector	a named vector where the names are the variables and the vector stores the importances.
...	additional arguments to plot, such as "main", "cex", etc.

Examples

imp <- varImpCoeff(forest)[,3]
plotImp(imp, main="Standardized Variable Importance")

anna-neufeld/splinetree documentation built on Aug. 27, 2019, 9:39 p.m.