Plot node centralities

Draws the centrality table returned by net_centralities(). type = "bar" gives one sorted horizontal lollipop panel per measure; type = "line" gives the qgraph/bootnet centrality plot — one faceted panel per measure, nodes on a shared vertical axis, a line-and-marker series within each panel.

Usage

# S3 method for class 'psychnet_centrality'
plot(
  x,
  type = c("bar", "line"),
  scale = c("raw", "z", "relative"),
  measures = NULL,
  ...
)

Arguments

x

A psychnet_centrality data frame from net_centralities().

type

"bar" (default) for one sorted lollipop panel per measure, or "line" for the faceted qgraph-style centrality plot.

scale

For type = "line", the per-measure transform: "raw" (default — each faceted panel keeps its own axis, so no rescaling is needed), "z" (z-score per measure, centred at 0), or "relative" (each measure min-max scaled to [0, 1]). type = "bar" always shows raw values.

measures

Which measure columns to draw. Default: all of them.

...

Unused.

Value

x, invisibly. Called for the plot it draws.

Examples

S <- 0.4^abs(outer(1:6, 1:6, "-"))
fit <- ebic_glasso(cor_matrix = S, n = 300)
plot(net_centralities(fit))

plot(net_centralities(fit), type = "line")