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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"))

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.

Details

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

Value

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

Author(s)

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

See Also

Examples

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

Core Functionality of the 'spatstat' Family

v2.1-2
GPL (>= 2)
Authors
Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]
Initial release
2021-04-17

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