ggparty v1.0.0

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'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'.

Readme

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!

Build
Status

Functions in ggparty

Name Description
get_predictions Create data.frame with predictions for each node
geom_edge Draw edges
makeContent.nodeplotgrob apparantly needs to be exported
geom_node_label Draw (multi-line) labels at nodes
ggparty Create a new ggparty plot
autoplot.party autoplot methods for party objects
geom_node_plot Draw plots at nodes
geom_edge_label Draw edge labels
No Results!

Vignettes of ggparty

Name
ggparty-graphic-partying.Rmd
on-the-edge.Rmd
No Results!

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Details

Copyright file inst/COPYRIGHTS
License GPL-2 | GPL-3
URL https://github.com/martin-borkovec/ggparty
BugReports https://github.com/martin-borkovec/ggparty/issues
Encoding UTF-8
LazyData true
RoxygenNote 6.1.1
VignetteBuilder knitr
NeedsCompilation no
Packaged 2019-07-15 15:14:50 UTC; Martin
Repository CRAN
Date/Publication 2019-07-18 10:54:06 UTC

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