plot.tna: Plot a Transition Network Analysis Model

In tna: Transition Network Analysis (TNA)

Plot a Transition Network Analysis Model

Description

This function plots a transition network analysis (TNA) model using the qgraph package. The nodes in the graph represent states, with node sizes corresponding to initial state probabilities. Edge labels represent the edge weights of the network.

Usage

## S3 method for class 'tna'
plot(
  x,
  labels,
  colors,
  pie,
  cut,
  show_pruned = TRUE,
  pruned_edge_color = "pink",
  edge.color = NA,
  edge.labels = TRUE,
  edge.label.position = 0.65,
  layout = "circle",
  layout_args = list(),
  mar = rep(5, 4),
  theme = "colorblind",
  ...
)

Arguments

x	A tna object from tna().
labels	See qgraph::qgraph().
colors	See qgraph::qgraph().
pie	See qgraph::qgraph().
cut	Edge color and width emphasis cutoff value. The default is the median of the edge weights. See qgraph::qgraph() for details.
show_pruned	A logical value indicating if pruned edges removed by prune() should be shown in the plot. The default is TRUE, and the edges are drawn as dashed with a different color to distinguish them.
pruned_edge_color	A character string for the color to use for pruned edges when show_pruned = TRUE. The default is "pink".
edge.color	See qgraph::qgraph().
edge.labels	See qgraph::qgraph().
edge.label.position	See qgraph::qgraph().
layout	One of the following: A character string describing a qgraph layout. A matrix of node positions to use, with a row for each node and x and y columns for the node positions. A layout function from igraph.
layout_args	A list of arguments to pass to the igraph layout function when layout is a function.
mar	See qgraph::qgraph().
theme	See qgraph::qgraph().
...	Additional arguments passed to qgraph::qgraph().

Value

A qgraph plot of the transition network.

See Also

Basic functions build_model(), hist.group_tna(), hist.tna(), import_data(), plot.group_tna(), plot_frequencies(), plot_frequencies.group_tna(), plot_mosaic(), plot_mosaic.group_tna(), plot_mosaic.tna_data(), prepare_data(), print.group_tna(), print.summary.group_tna(), print.summary.tna(), print.tna(), print.tna_data(), simulate.tna(), summary.group_tna(), summary.tna(), tna-package

Examples

model <- tna(group_regulation)
plot(model)

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