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spatstat.explore (version 3.1-0)

circdensity: Density Estimation for Circular Data

Description

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

Usage

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

Value

An object of class "density" (produced by

density.default) which can be plotted by plot or by rose.

Arguments

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.

Author

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.

Details

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

See Also

density.default), rose.

Examples

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

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