Network histogram plot — plot.nethist • nethist

Drawing lattice::levelplot() using a nethist object.

Usage

# S3 method for class 'nethist'
plot(
  x,
  type = "nethist",
  idx_order = 1:max(x$cluster),
  power = 0.25,
  col.regions = function(n) grDevices::hcl.colors(n, palette = "Reds 3", rev = TRUE),
  colorkey = FALSE,
  prob = FALSE,
  digits = 2,
  prob.cex = 0.1 + 0.5/log10(max(x$cluster)),
  prob.col = "white",
  at = NULL,
  y = NA,
  ...
)

Arguments

x: a nethist object from nethist().
type: One of nethist (default) or prob. "pmat" is a deprecated alias for "prob".
idx_order: A numeric vector for index label order, which must be a permutation of x$cluster. If NA, it uses 1:max(x$cluster).
power: A positive number for the power transform applied to the graphon estimate. Only used when type = "nethist". Default is 0.25.
col.regions: A function taking an integer n and returning n colors. Default is viridis via grDevices::hcl.colors().
colorkey: Logical. Whether to draw a color legend. Default FALSE.
prob: Logical. Whether to print block probabilities on the plot. Default FALSE.
digits: Integer. Number of decimal places for probabilities.
prob.cex: Numeric. cex for probability labels.
prob.col: Color for probability labels. Default "white".
at: A numeric vector of breakpoints for the color scale. If NULL (default), breakpoints are computed automatically from the data range. Specify a fixed vector to compare plots from different fits on a common scale.
y: A dummy variable for S3 dispatch. Never used.
...: Additional arguments passed to lattice::levelplot().

Value

Called for its side effects (plotting). Returns NULL invisibly.

Examples

# \donttest{
set.seed(2022)
A <- igraph::sample_gnp(200, 0.05)
hist_A <- nethist(A)
plot(hist_A)

plot(hist_A, power = 0.5)

plot(hist_A, type = "prob", prob = TRUE)

# }