splitDensity

Density plots of the split value for each variable.

splitDensity(
  trees,
  data,
  bandWidth = NULL,
  panelScale = NULL,
  scaleFactor = NULL,
  display = "histogram"
)

Arguments

trees	A list of trees created using the trees function.
data	Data frame containing variables from the model.
bandWidth	Bandwidth used for density calculation. If not provided, is estimated from the data.
panelScale	If TRUE, the default, relative scaling is calculated separately for each panel. If FALSE, relative scaling is calculated globally. @param scaleFactor A scaling factor to scale the height of the ridgelines relative to the spacing between them. A value of 1 indicates that the maximum point of any ridgeline touches the baseline right above, assuming even spacing between baselines.
display	Choose how to display the plot. Either histogram, facet wrap, ridges or display both the split value and density of the predictor by using dataSplit.

Value

A faceted group of density plots

Examples

if (FALSE) {
df_trees <- extractTreeData(model = my_model, data = my_data)
splitDensity(trees = df_trees, data = my_data, display = 'dataSplit')
}