plot.pptr: Plot a pptr model.

In ppforest2: Projection Pursuit Oblique Decision Trees and Random Forests

Plot a pptr model.

Description

Visualizes a pptr model. By default, shows a mosaic overview with tree structure, decision boundaries, and variable importance. Use type to show individual plots.

Usage

## S3 method for class 'pptr'
plot(x, type = NULL, metric = NULL, node = 1L, ...)

Arguments

x	A pptr model.
type	Character string specifying the plot type. NULL (default) shows a mosaic overview. Other options: "structure" for tree with embedded histograms, "importance" for variable importance, "projection" for projected data at a node, "boundaries" for decision boundaries in feature space.
metric	Character string selecting a single importance metric to plot: "projections", "weighted", or "permuted" (availability depends on the model). NULL (default) shows all available metrics together. Only used when type = "importance".
node	Integer index of the node for projection plots (1-based, breadth-first order). Defaults to 1 (root node). Only used when type = "projection".
...	Additional arguments passed to the internal plotting function.

Value

A ggplot2-compatible object (invisibly). The mosaic layout returns a patchwork object that works with ggplot2::ggsave().

Examples

if (requireNamespace("ggplot2", quietly = TRUE) &&
    requireNamespace("patchwork", quietly = TRUE)) {
  model <- pptr(Species ~ ., data = iris)
  plot(model)                         # mosaic overview
  plot(model, type = "structure")     # tree structure only
  plot(model, type = "importance")    # variable importance
  plot(model, type = "projection")    # projection histogram
  plot(model, type = "boundaries")    # decision boundaries
}

ppforest2 documentation built on July 21, 2026, 9:07 a.m.