tna (version 0.4.0)

plot.group_tna_centralities: Plot Centrality Measures

Description

Plot Centrality Measures

Usage

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

Value

A ggplot object displaying a line chart for each centrality with one line per cluster.

Arguments

x

A group_tna_centralities object.

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.

See Also

Cluster-related functions bootstrap(), centralities(), cliques(), communities(), deprune(), estimate_cs(), group_model(), hist.group_tna(), mmm_stats(), plot.group_tna(), plot.group_tna_cliques(), plot.group_tna_communities(), plot.group_tna_stability(), plot_compare.group_tna(), plot_mosaic.group_tna(), plot_mosaic.tna_data(), print.group_tna(), print.group_tna_bootstrap(), print.group_tna_centralities(), print.group_tna_cliques(), print.group_tna_communities(), print.group_tna_stability(), print.summary.group_tna(), print.summary.group_tna_bootstrap(), prune(), pruning_details(), rename_groups(), reprune(), summary.group_tna(), summary.group_tna_bootstrap()

Examples

model <- group_model(engagement_mmm)
cm <- centralities(model)
plot(cm)