plot.varImp.train

0th

Percentile

Plotting variable importance measures

This function produces lattice and ggplot plots of objects with class "varImp.train". More info will be forthcoming.

Keywords
hplot
Usage
# S3 method for varImp.train
plot(x, top = dim(x$importance)[1], ...)

# S3 method for varImp.train ggplot(data, mapping = NULL, top = dim(data$importance)[1], ..., environment = NULL)

Arguments
x, data

an object with class varImp.

top

a scalar numeric that specifies the number of variables to be displayed (in order of importance)

arguments to pass to the lattice plot function (dotplot and panel.needle)

mapping, environment

unused arguments to make consistent with ggplot2 generic method

Details

For models where there is only one importance value, such a regression models, a "Pareto-type" plot is produced where the variables are ranked by their importance and a needle-plot is used to show the top variables. Horizontal bar charts are used for ggplot.

When there is more than one importance value per predictor, the same plot is produced within conditioning panels for each class. The top predictors are sorted by their average importance.

Value

a lattice plot object

Aliases
  • plot.varImp.train
  • ggplot.varImp.train
  • ggplot.varImp.train
Documentation reproduced from package caret, version 6.0-80, License: GPL (>= 2)

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