plot.tna_centralities: Plot Centrality Measures

In tna: Transition Network Analysis (TNA)

Plot Centrality Measures

Description

Plots the centrality measures of a tna_centralities object as a lollipop chart. The resulting plot includes facets for each centrality measure, showing the values for each state. The returned plot is a ggplot2 object, so it can be easily modified and styled. See centralities() for details on the centrality measures.

Usage

## S3 method for class 'tna_centralities'
plot(
  x,
  reorder = TRUE,
  ncol = 3,
  scales = c("free_x", "fixed"),
  colors,
  labels = TRUE,
  ...
)

Arguments

x	An object of class tna_centralities.
reorder	A logical value indicating whether to reorder the values for each centrality in a descending order. The default is TRUE.
ncol	Number of columns to use for the facets. The default is 3.
scales	Either "fixed" or "free_x" (the default). If "free_x", the horizontal axis is scaled individually in each facet. If "fixed", the same values are used for all axes.
colors	The colors for each node (default is the model colors if the tna model object is passed, otherwise "black").
labels	A logical value indicating whether to show the centrality numeric values. The default is TRUE.
...	Ignored.

Value

A ggplot object displaying the lollipop charts for each centrality measure.

See Also

Centrality measure functions betweenness_network(), centralities(), plot.group_tna_centralities(), print.group_tna_centralities(), print.tna_centralities()

Examples

tna_model <- tna(group_regulation)
cm <- centralities(tna_model)
plot(cm, ncol = 3, reorder = TRUE)

tna documentation built on June 8, 2025, 10:33 a.m.