Plot fitted scanpath clusters

Create base-R MDS, dendrogram, or silhouette diagnostics for an object returned by cluster_gazepoint_scanpaths().

Usage

plot_gazepoint_scanpath_clusters(
  x,
  plot = c("mds", "dendrogram", "silhouette"),
  labels = TRUE,
  main = NULL,
  xlab = NULL,
  ylab = NULL,
  point_cex = 1.2,
  label_cex = 0.8
)

Arguments

x

An object returned by cluster_gazepoint_scanpaths().

plot

Plot type: "mds", "dendrogram", or "silhouette".

labels

Should scanpath identifiers be displayed?

main

Optional plot title.

xlab

Optional horizontal-axis label.

ylab

Optional vertical-axis label.

point_cex

Point-size multiplier for the MDS display.

label_cex

Label-size multiplier.

Value

Invisibly returns a list containing the plot type, plot data, clustering method, and number of clusters.

Details

These displays describe distance structure and cluster separation. They do not establish distinct cognitive or psychological strategies.

Examples

d <- matrix(
  c(
    0, 0.1, 1, 1,
    0.1, 0, 1, 1,
    1, 1, 0, 0.1,
    1, 1, 0.1, 0
  ),
  nrow = 4,
  byrow = TRUE,
  dimnames = list(LETTERS[1:4], LETTERS[1:4])
)

fit <- cluster_gazepoint_scanpaths(d, k = 2)
plot_gazepoint_scanpath_clusters(fit, plot = "mds")