plot_edge_weights: Plot Edge Weight Distribution

In cograph: Analysis and Visualization of Complex Networks

Plot Edge Weight Distribution

Description

Histogram of edge weights in a network.

Usage

plot_edge_weights(
  x,
  normalize = FALSE,
  bins = NULL,
  log = "",
  directed = NULL,
  col = "steelblue",
  border = "white",
  main = "Edge Weight Distribution",
  xlab = "Weight",
  ...
)

Arguments

x	Network input: matrix, igraph, network, cograph_network, or tna.
normalize	Logical. Show proportions. Default FALSE.
bins	Integer or NULL. Number of bins. Default NULL (auto).
log	Character. Log scaling. Default "".
directed	Logical or NULL. Default NULL (auto-detect).
col	Fill color. Default "steelblue".
border	Border color. Default "white".
main	Title. Default "Edge Weight Distribution".
xlab	X-axis label. Default "Weight".
...	Additional arguments passed to barplot.

Value

Invisibly returns the weight vector.

Examples

adj <- matrix(c(0, 2, 3, 2, 0, 1, 3, 1, 0), 3, 3)
rownames(adj) <- colnames(adj) <- c("A", "B", "C")
cograph::plot_edge_weights(adj)

cograph documentation built on May 31, 2026, 5:06 p.m.