Plot Diagnostics for Intersection k-NN Graph Analysis

Usage

# S3 method for class 'IkNNgraphs'
plot(
  x,
  type = "diag",
  diags = c("edist", "edge", "deg"),
  with.pwlm = TRUE,
  with.lmin = FALSE,
  breakpoint.col = "blue",
  lmin.col = "gray",
  mar = c(2.5, 2.5, 0.5, 0.5),
  mgp = c(2.5, 0.5, 0),
  tcl = -0.3,
  xline = 2.4,
  yline = 3.15,
  ...
)

Arguments

x: A list with k.values, edit.distances, n.edges.in.pruned.graph, and js.div.
type: Character string. Only "diag" is currently supported.
diags: Diagnostic panels. The supported combination is c("edist", "edge", "deg").
with.pwlm: Logical. If TRUE, overlays smoothed trend fits.
with.lmin: Logical. If TRUE, shows local-minimum vertical lines.
breakpoint.col: Color for breakpoint vertical lines.
lmin.col: Color for local-minima vertical lines.
mar, mgp, tcl, xline, yline: Base graphics controls.
...: Additional arguments passed to plot.

Value

Invisibly returns TRUE.

Examples

diagnostics <- structure(list(k.values = 2:4, edit.distances = c(0.3, 0.2),
  n.edges.in.pruned.graph = c(6, 8, 10), js.div = c(0.1, 0.05)),
  class = "IkNNgraphs")
plot(diagnostics, with.pwlm = FALSE)