'ggplot' Visualizations for the 'partykit' Package

Extends 'ggplot2' functionality to the 'partykit' package. 'ggparty' provides the necessary tools to create clearly structured and highly customizable visualizations for tree-objects of the class 'party'.


ggparty

ggplot2 visualizations for the partykit package.

Install

devtools::install_github("martin-borkovec/ggparty", 
                         dependencies = TRUE)

Example

library(ggparty)

data("TeachingRatings", package = "AER")
tr <- subset(TeachingRatings, credits == "more")

tr_tree <- lmtree(eval ~ beauty | minority + age + gender + division + native +
                    tenure, data = tr, weights = students, caseweights = FALSE)

ggparty(tr_tree,
        terminal_space = 0.5,
        add_vars = list(p.value = "$node$info$p.value")) +
  geom_edge(size = 1.5) +
  geom_edge_label(colour = "grey", size = 6) +
  geom_node_plot(gglist = list(geom_point(aes(x = beauty,
                                             y = eval,
                                             col = tenure,
                                             shape = minority),
                                         alpha = 0.8),
                              theme_bw(base_size = 15)),
                scales = "fixed",
                id = "terminal",
                shared_axis_labels = T,
                shared_legend = T,
                legend_separator = T,
                predict = "beauty",
                predict_gpar = list(col = "blue",
                                   size = 1.2)
                ) +
  geom_node_label(aes(col = splitvar),
                  line_list = list(aes(label = paste("Node", id)),
                                   aes(label = splitvar),
                                   aes(label = paste("p =", formatC(p.value, format = "e", digits = 2)))),
                  line_gpar = list(list(size = 12, col = "black", fontface = "bold"),
                                   list(size = 20),
                                   list(size = 12)),
                  ids = "inner") +
  geom_node_label(aes(label = paste0("Node ", id, ", N = ", nodesize)),
                  fontface = "bold",
                  ids = "terminal",
                  size = 5, 
                  nudge_y = 0.01) +
  theme(legend.position = "none")

How to Use

ggparty tries to stick as closely as possible to ggplot2’s grammar of graphics. The basic building blocks to a ggparty plot are:

  • ggparty() replaces the usual ggplot(). Takes a object of class 'party' instead of a 'data.frame'.

  • geom_edge() draws the edges between the nodes

  • geom_edge_label() labels the edges with the corresponding split breaks

  • geom_node_label() labels the nodes with the split variable, node info or anything else. The shorthand versions of this geom geom_node_splitvar() and geom_node_info() have the correct defaults to write the split variables in the inner nodes resp. the info in the terminal nodes.

  • geom_node_plot() creates a custom ggplot at the location of the node

Make sure to check out the wiki or the vignettes for detailed information on the usage of ggparty.

If you find any bugs or have any suggestions or questions feel free to contact me or post an issue! Thanks for your support!

BuildStatus

Reference manual

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install.packages("ggparty")

1.0.0.1 by Martin Borkovec, a year ago


https://github.com/martin-borkovec/ggparty


Report a bug at https://github.com/martin-borkovec/ggparty/issues


Browse source code at https://github.com/cran/ggparty


Authors: Martin Borkovec [aut, cre] , Niyaz Madin [aut] , Hadley Wickham [ctb] , Winston Chang [ctb] , Lionel Henry [ctb] , Thomas Lin Pedersen [ctb] , Kohske Takahashi [ctb] , Claus Wilke [ctb] , Kara Woo [ctb] , Hiroaki Yutani [ctb]


Documentation:   PDF Manual  


GPL-2 | GPL-3 license


Imports grid, gtable, utils, checkmate, methods, survival, rlang

Depends on ggplot2, partykit

Suggests testthat, mlbench, AER, coin, vdiffr, knitr, rmarkdown, pander, MASS, TH.data


Imported by StratifiedMedicine, causalDT, eat, fmeffects, gosset, longitree, mlr3shiny, treeheatr.

Suggested by chaidr, mlr3viz, scGate.


See at CRAN