R: Density Estimation for Circular Data

circdensity {spatstat.core}

R Documentation

Density Estimation for Circular Data

Computes a kernel smoothed estimate of the probability density for angular data.

circdensity(x, sigma = "nrd0", ...,
               bw = NULL,
               weights=NULL, unit = c("degree", "radian"))

`x`	Numeric vector, containing angular data.
`sigma`	Smoothing bandwidth, or bandwidth selection rule, passed to `density.default`.
`bw`	Alternative to `sigma` for consistency with other functions.
`...`	Additional arguments passed to `density.default`, such as `kernel` and `weights`.
`weights`	Optional numeric vector of weights for the data in `x`.
`unit`	The unit of angle in which `x` is expressed.

The angular values x are smoothed using (by default) the wrapped Gaussian kernel with standard deviation sigma.

An object of class "density" (produced by density.default) which can be plotted by plot or by rose.

  ang <- runif(1000, max=360)
  rose(circdensity(ang, 12))

[Package spatstat.core version 2.2-0 Index]