Plot Trajectory-Clustering Choices — plot.vasstra_trajectory

Draws a compact Nestimate model-selection plot from trajectory_choices(). Each line is one distance-method combination. A ring marks the optimal eligible value of the plotted metric within each group; hollow points mark candidates that fail the requested size constraints.

Usage

# S3 method for class 'vasstra_trajectory_choices'
plot(
  x,
  metric = c("silhouette", "mean_within_distance", "min_size", "size_ratio"),
  colors = NULL,
  main = NULL,
  groups = NULL,
  show_legend = TRUE,
  ...
)

Arguments

x: A vasstra_trajectory_choices object.
metric: One of "silhouette", "mean_within_distance", "min_size", or "size_ratio".
colors: Optional colors, one per displayed distance-method pair.
main: Optional plot title.
groups: Optional character vector of distance-method labels to display, such as "lcs + ward.D2".
show_legend: Show the group and marker legends.
...: Additional arguments passed to graphics::plot().

Value

The tidy candidate data used in the plot, invisibly.

Examples

data("engagement", package = "VaSSTra")
sequences <- step2_sequences(step1_states(engagement, n_states = 3))
options <- trajectory_choices(sequences, n_trajectories = 2:4)
plot(options)