Fitted von Mises density — stat_vonmises_fit • ggcircular

Estimates mu with mean_direction() and kappa with estimate_kappa(), then draws the fitted von Mises density.

Usage

stat_vonmises_fit(
  mapping = NULL,
  data = NULL,
  geom = "line",
  position = "identity",
  ...,
  n = 512,
  axial = FALSE,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE
)

Arguments

mapping, data, geom, position, show.legend, inherit.aes: Standard ggplot2 layer arguments.
...: Additional arguments passed to the layer.
n: Number of grid points.
axial: Should the data be treated as axial, modulo pi?
na.rm: Should missing values be silently removed?

Value

A ggplot2 layer.

See also

Other circular distributions: fit_vonmises_mixture(), stat_vonmises(), stat_vonmises_mixture()

Examples

ggplot2::ggplot(wind_directions, ggplot2::aes(x = direction)) +
  geom_rose(ggplot2::aes(y = ggplot2::after_stat(density))) +
  stat_vonmises_fit()