Plot a mixture-of-regressions fit

A fit that classifies persons (id with class_level = "group") is a trajectory model, and draws the trajectory views of plot.latents_growth_mixture() (ggplot2): "trajectories" (the default), "individuals", "coefficients" and "classification". Any other fit draws base-graphics views: "fitted" (the default), "coefficients" and "posteriors".

Usage

# S3 method for class 'latents_mixture_regression'
plot(
  x,
  what = NULL,
  predictor = NULL,
  level = 0.95,
  main = NULL,
  subtitle = NULL,
  time = NULL,
  facet = FALSE,
  persons = 12L,
  max_persons = 120L,
  ...
)

Arguments

x

A fit from mixture_regression().

what

For a trajectory model: "trajectories" (each class's mean trajectory with its confidence band and the observed class means), "individuals", "coefficients" (estimates with intervals and p-values) or "classification" ("posteriors" is a synonym). Otherwise: "fitted" (the outcome against one numeric predictor, rows marked by modal class, each class's regression line), "coefficients" or "posteriors" (each unit's largest posterior probability, by class).

predictor

For "fitted", the numeric predictor for the horizontal axis; defaults to the first one in the formula.

level

Confidence level of intervals and bands.

main

Plot title; NULL for the default.

subtitle

For a trajectory model, the subtitle; NULL for the default.

time, facet, persons, max_persons

For a trajectory model, as in plot.latents_growth_mixture().

...

Unused.

Value

For a trajectory model, a ggplot object (raises latents_missing_package without ggplot2); otherwise x, invisibly, called for its plot.

Examples

fit <- mixture_regression(score ~ hours, data = study_hours, n_classes = 2,
                          n_starts = 3, seed = 1)
plot(fit)

plot(fit, what = "coefficients")