Theoretical von Mises density

Adds a theoretical von Mises density to a circular plot.

Usage

stat_vonmises(
  mapping = NULL,
  data = NULL,
  geom = "line",
  position = "identity",
  ...,
  mu = 0,
  kappa = 1,
  n = 512,
  axial = FALSE,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = FALSE
)

stat_wrapped_normal(
  mapping = NULL,
  data = NULL,
  geom = "line",
  position = "identity",
  ...,
  mu = 0,
  sigma = 1,
  terms = 5,
  n = 512,
  axial = FALSE,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = FALSE
)

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

Arguments

mapping, data, geom, position, show.legend, inherit.aes

Standard ggplot2 layer arguments.

...

Additional arguments passed to the layer.

mu

Mean direction in radians.

kappa

Non-negative concentration parameter.

n

Number of grid points.

axial

Should the density be drawn over an axial period of pi?

na.rm

Included for ggplot2 layer compatibility.

sigma

Standard deviation of the wrapped normal distribution.

terms

Number of wrapping terms on each side of the origin.

Value

A ggplot2 layer.

See also

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

Examples

ggplot2::ggplot(wind_directions, ggplot2::aes(x = direction)) +
  geom_rose(ggplot2::aes(y = ggplot2::after_stat(density))) +
  stat_vonmises(mu = pi / 2, kappa = 3)