Plot scanpath-cluster stability

Create base-R diagnostics for co-clustering probabilities, iteration-level adjusted Rand indices, or sequence-level stability.

Usage

plot_gazepoint_scanpath_cluster_stability(
  x,
  plot = c("coclustering", "ari", "sequence"),
  specification = NULL,
  min_pair_coverage = 0.5,
  stable_threshold = 0.75,
  main = NULL,
  label_cex = 0.8
)

Arguments

x

An object returned by bootstrap_gazepoint_scanpath_clusters().

plot

Plot type: "coclustering", "ari", or "sequence".

specification

Optional specification name. The first specification is used by default.

min_pair_coverage

Pair-coverage threshold used in sequence summaries.

stable_threshold

Stability threshold used in sequence summaries.

main

Optional plot title.

label_cex

Axis-label size multiplier.

Value

Invisibly returns a list containing the plot type, specification, and plotted data.

Examples

latent <- rep(1:3, each = 2)
d <- outer(
  latent,
  latent,
  FUN = function(x, y) ifelse(x == y, 0.1, 1)
)
diag(d) <- 0
dimnames(d) <- list(LETTERS[1:6], LETTERS[1:6])

stability <- bootstrap_gazepoint_scanpath_clusters(
  d,
  k = 3,
  n_boot = 10,
  seed = 1
)

plot_gazepoint_scanpath_cluster_stability(
  stability,
  plot = "coclustering"
)