Plot a Group Bootstrap Result

Plots each cluster's net_bootstrap in a grid, routing every panel through splot.net_bootstrap so significance styling (solid vs dashed edges) is preserved. Earlier versions extracted bs$original per cluster and handed plain netobjects to splot(), which dispatches to splot.netobject — that path has no concept of significance, so every edge rendered identically.

Usage

plot_net_bootstrap_group(
  x,
  nrow = NULL,
  ncol = NULL,
  common_scale = TRUE,
  combined = TRUE,
  ...
)

# S3 method for class 'net_bootstrap_group'
plot(x, ...)

Arguments

x

A net_bootstrap_group object (list of net_bootstrap).

nrow, ncol

Grid dimensions. Defaults to auto-computed square layout.

common_scale

Logical: use the same maximum weight across panels? Default TRUE.

combined

Logical: when TRUE (default), arrange panels in an internal grid via graphics::par(mfrow=...). Set to FALSE to draw into a layout the caller already configured (e.g. via panel_layout()).

...

Additional arguments passed to splot.net_bootstrap (e.g. display = "significant", show_stars = FALSE).

Value

Invisibly returns x.

Examples

set.seed(1)
seqs <- data.frame(T1 = sample(c("A","B","C"), 30, replace = TRUE),
                   T2 = sample(c("A","B","C"), 30, replace = TRUE))
grp <- Nestimate::cluster_network(seqs, k = 2)
gbs <- Nestimate::bootstrap_network(grp, iter = 10)
plot_net_bootstrap_group(gbs)