cograph (version 2.7.2)

plot_centrality_distribution: Plot Centrality Distribution

Description

Histogram or density plot of any centrality measure. Accepts the output of centrality directly.

Usage

plot_centrality_distribution(
  x,
  measure = "degree_all",
  type = c("histogram", "density"),
  normalize = FALSE,
  bins = NULL,
  log = "",
  col = "steelblue",
  border = "white",
  main = NULL,
  xlab = NULL,
  ...
)

Value

Invisibly returns the centrality values plotted.

Arguments

x

A data frame from centrality, or a network input (matrix, igraph, cograph_network, tna).

measure

Character. Which centrality measure to plot. Default "degree_all". Must match a column name in the centrality output.

type

Character. "histogram" (default) or "density".

normalize

Logical. Show proportions instead of counts. Default FALSE.

bins

Integer or NULL. Number of bins. Default NULL (auto).

log

Character. Log scaling: "", "y", or "xy". Values containing "x" are accepted for compatibility but only the y-axis is log-scaled by this plotting implementation. Default "".

col

Fill color. Default "steelblue".

border

Border color. Default "white".

main

Plot title. Default auto-generated from measure name.

xlab

X-axis label. Default auto-generated.

...

Additional arguments passed to barplot or plot.

Examples

adj <- matrix(c(0,1,1,0, 1,0,1,1, 1,1,0,1, 0,1,1,0), 4, 4)
rownames(adj) <- colnames(adj) <- LETTERS[1:4]
cograph::plot_centrality_distribution(adj, measure = "degree_all")