NiceTreePlot: Plots conditional inference trees.

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

Plots conditional inference trees.

Description

Plots a partykit conditional inference tree in a pretty and simple way.

Usage

NiceTreePlot(ct, inner_plots = FALSE, cex = 0.8, justmin = 15)

Arguments

ct	A tree of class constparty (as returned by ctree from partykit package).
inner_plots	Logical. If TRUE, plots are displayed at each inner node. Default is FALSE.
cex	Numerical value. Multiplier applied to fontsize. Default is 0.8.
justmin	Numerical value. Minimum average edge label length to employ justification (see panelfunctions documentation from partykit package)

Author(s)

Nicolas Robette

References

Hothorn T, Hornik K, Van De Wiel MA, Zeileis A. "A lego system for conditional inference". The American Statistician. 60:257–263, 2006.

Hothorn T, Hornik K, Zeileis A. "Unbiased Recursive Partitioning: A Conditional Inference Framework". Journal of Computational and Graphical Statistics, 15(3):651-674, 2006.

See Also

ctree

Examples

  data(iris)
  iris2 = iris
  iris2$Species = factor(iris$Species == "versicolor")
  iris.ct = partykit::ctree(Species ~ ., data = iris2)
  NiceTreePlot(iris.ct, inner_plots = TRUE)

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