Plot a cohort regime detection result

Visualise an object of class "CohortRegime" as a PCA scatter of cohort trajectories coloured by detected regime. Points are underwriting cohorts, axes are the first two principal components of the cohort feature matrix (development-period trajectories), and ellipses indicate the 90% contour per regime. Arrows show the loadings of the original development-period features on PC1/PC2.

Usage

# S3 method for class 'CohortRegime'
plot(
  x,
  show_arrow = TRUE,
  show_label = TRUE,
  show_ellipse = TRUE,
  show_mean = TRUE,
  show_median = TRUE,
  alpha = 0.5,
  palette = "Set1",
  theme = c("view", "save", "shiny"),
  ...
)

Arguments

x: An object of class "CohortRegime".
show_arrow: Logical; draw loading arrows. Default TRUE.
show_label: Logical; label arrows with development-period index. Default TRUE.
show_ellipse: Logical; draw 90% ellipse per regime. Default TRUE.
show_mean, show_median: Logical; draw per-regime mean / median point. Defaults TRUE.
alpha: Numeric; point alpha. Default 0.5.
palette: Brewer palette name for discrete regimes. Default "Set1".
theme: Theme string passed to .switch_theme().
...: Additional arguments passed to ggshort::plot_pca().

Value

A ggplot object.

Usage

Arguments

Value

See also