ggVarImp: Dot plot of variable importance

In nicolas-robette/moreparty: A Toolbox for Conditional Inference Trees and Random Forests

Dot plot of variable importance

Description

Plots the importance of the covariates of a supervised learning model in a dot plot.

Usage

ggVarImp(importance, sort=TRUE, xlabel="Importance", ylabel="Variable", main="")

Arguments

importance	numeric vector. The vector of the importances of the covariates. Should be a named vector.
sort	logical. Whether the vector of importances should be sorted or not. Default is TRUE.
xlabel	character. Title of the x axis.
ylabel	character. Title of the y axis.
main	character. Title of the plot.

Author(s)

Nicolas Robette

See Also

varImp,varImpAUC,fastvarImp,fastvarImpAUC

Examples

  data(iris)
  iris2 = iris
  iris2$Species = factor(iris$Species == "versicolor")
  iris.cf = party::cforest(Species ~ ., data = iris2,
            control = party::cforest_unbiased(mtry = 2, ntree = 50))
  imp <- fastvarImpAUC(object = iris.cf, parallel = FALSE)
  ggVarImp(imp)

nicolas-robette/moreparty documentation built on April 10, 2024, 2:24 p.m.