Plot a Clustering Evaluation — plot.vasstra

Draws the selection curve, per-cluster silhouette widths, and cluster sizes for one evaluate() result. The default "summary" layout places the three panels side by side.

Usage

# S3 method for class 'vasstra_evaluation'
plot(
  x,
  type = c("summary", "curve", "silhouette", "sizes"),
  colors = NULL,
  main = NULL,
  ...
)

Arguments

x: A vasstra_evaluation object from evaluate().
type: One of "summary" (default), "curve", "silhouette", or "sizes".
colors: Optional colors, one per fitted cluster. The selection curve uses the first color.
main: Optional plot title. A panel-specific title is used by default.
...: Additional graphical arguments passed to the panel functions.

Value

The tidy data drawn by the requested panel, invisibly. The "summary" layout returns both the candidate and cluster tables.

Examples

data("engagement", package = "VaSSTra")
fit <- vasstra(engagement, n_states = 3, n_trajectories = 3)
evaluation <- evaluate(fit$trajectories)
plot(evaluation)

plot(evaluation, type = "silhouette")