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Circular Density Plot

Source: R/plotting.R
plot_density.Rd

Plot the multiples of a von Mises density distribution

Usage

plot_density(
  x,
  kappa,
  axial = TRUE,
  n = 512,
  norm.density = FALSE,
  ...,
  scale = 1.1,
  shrink = 1,
  add = TRUE,
  main = NULL,
  labels = TRUE,
  at = seq(0, 360 - 45, 45),
  cborder = TRUE,
  grid = FALSE
)

Arguments

x

Data to be plotted. A numeric vector containing angles (in degrees).

kappa

Concentration parameter for the von Mises distribution. Small kappa gives smooth density lines.

axial

Logical. Whether data are uniaxial (axial=FALSE) or biaxial (TRUE, the default).

n

the number of equally spaced points at which the density is to be estimated.

norm.density

logical. Normalize the density?

...

Further graphical parameters may also be supplied as arguments.

scale

radius of plotted circle. Default is 1.1.

shrink

parameter that controls the size of the plotted function. Default is 1.

add

logical. Add to existing plot? (TRUE by default).

main

Character string specifying the title of the plot.

labels

Either a logical value indicating whether to plot labels next to the tick marks, or a vector of labels for the tick marks.

at

Optional vector of angles at which tick marks should be plotted. Set at=numeric(0) to suppress tick marks.

cborder

logical. Border of rose plot.

grid

logical. Whether a grid should be added.

Value

plot or calculated densities as numeric vector

See also

dvm()

Examples

rose(san_andreas$azi, dots = TRUE, stack = TRUE, dot_cex = 0.5, dot_pch = 21)
plot_density(san_andreas$azi,
  kappa = 100, col = "#51127CFF", shrink = 1.5,
  norm.density = FALSE
)

plot_density(san_andreas$azi,
  kappa = 100, col = "#51127CFF", add = FALSE,
  scale = .5, shrink = 2, norm.density = TRUE, grid = TRUE
)