Fits or draws a mixture of von Mises densities.
Usage
stat_vonmises_mixture(
mapping = NULL,
data = NULL,
geom = "line",
position = "identity",
...,
fit = NULL,
k = 2,
nstart = 1,
seed = NULL,
kappa_max = 10000,
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.
- fit
Optional
ggcircular_vonmises_mixtureobject. IfNULL, the mixture is fitted to the layer'sxaesthetic.- k
Number of components when fitting inside the statistic.
- nstart
Number of EM starts when fitting inside the statistic.
- seed
Optional random seed when fitting inside the statistic.
- kappa_max
Maximum fitted concentration when fitting inside the statistic.
- n
Number of grid points.
- axial
Should data be treated as axial, modulo
pi?- na.rm
Should missing values be removed before fitting?
See also
Other circular distributions:
fit_vonmises_mixture(),
stat_vonmises(),
stat_vonmises_fit()