vonmises: The von Mises Distribution

In tectonicr: Analyzing the Orientation of Maximum Horizontal Stress

The von Mises Distribution

Description

Density, probability distribution function, quantiles, and random generation for the circular normal distribution with mean and kappa.

Usage

rvm(n, mean, kappa)

dvm(theta, mean, kappa, log = FALSE, axial = FALSE)

pvm(theta, mean, kappa, from = NULL, tol = 1e-20)

qvm(p, mean = 0, kappa, from = NULL, tol = .Machine$double.eps^(0.6), ...)

Arguments

n	integer. Number of observations in degrees
mean	numeric. Mean angle in degrees
kappa	numeric. Concentration parameter in the range (0, Inf]
theta	numeric. Angular value in degrees
log	logical. If TRUE, probabilities p are given as log(p).
axial	logical. Whether the data are axial, i.e. \pi-periodical (TRUE, the default) or directional, i.e. 2 \pi-periodical (FALSE).
from	if NULL is set to \mu-\pi. This is the value from which the pvm and qvm are evaluated. in degrees.
tol	numeric. The precision in evaluating the distribution function or the quantile.
p	numeric. Vector of probabilities with values in [0,1].
...	parameters passed to stats::integrate().

Value

dvm gives the density, pvm gives the probability of the von Mises distribution function, rvm generates random deviates (in degrees), and qvm provides quantiles (in degrees).

Examples

set.seed(1)
x <- rvm(5, mean = 90, kappa = 2)

dvm(x, mean = 90, kappa = 2)
dvm(x, mean = 90, kappa = 2, axial = TRUE)

pvm(x, mean = 90, kappa = 2)
qvm(c(.25, .5, .75), mean = 90, kappa = 2)

tectonicr documentation built on April 4, 2025, 12:54 a.m.