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Plots a partykit conditional inference tree in a pretty and simple way.
partykit
NiceTreePlot(ct, inner_plots = FALSE, cex = 0.8, justmin = 15)
A tree of class constparty (as returned by ctree from partykit package).
constparty
ctree
Logical. If TRUE, plots are displayed at each inner node. Default is FALSE.
Numerical value. Multiplier applied to fontsize. Default is 0.8.
Numerical value. Minimum average edge label length to employ justification (see panelfunctions documentation from partykit package)
panelfunctions
Nicolas Robette
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.
data(iris) iris2 = iris iris2$Species = factor(iris$Species == "versicolor") iris.ct = partykit::ctree(Species ~ ., data = iris2) NiceTreePlot(iris.ct, inner_plots = TRUE)
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