importancePlot: Random Forest Variable Importance Plotting

In USEPA/LakeTrophicModelling: Package to reproduce Hollister et al. (2015) Modeling Lake Trophic State: A Randrom Forest Approach.

Description

Random Forest Variable Importance Plotting

Usage

importancePlot(
  rf,
  sumtbl = NULL,
  data_def = NULL,
  type = c("acc", "gini"),
  ...
)

Arguments

rf	a randomForest object
type	the type of importance to plot "acc" for Mean Decrease Accuracy, and "gini for Mean Decrease Gini.
...	any items that can be passed to geom_point. Mostly used to control size and color of points.

Examples

require(wesanderson)
data(iris)
iris_rf<-randomForest(iris[,1:4],iris[,5],importance=T,proximity=T)
importancePlot(iris_rf,'acc',size=10,aes(colour=wes.palette(4, 'GrandBudapest')))
importancePlot(iris_rf,'gini',size=10,aes(colour=wes.palette(4, 'GrandBudapest')))

USEPA/LakeTrophicModelling documentation built on Oct. 15, 2020, 4:13 p.m.