circ.summary: Summary statistics for circular data

In Directional: A Collection of Functions for Directional Data Analysis

Summary statistics for circular data

Description

It produces a few summary measures for circular data.

Usage

circ.summary(u, rads = FALSE, fast = FALSE, tol = 1e-07, plot = FALSE)

Arguments

u	A vector with circular data.
rads	If the data are in rads, then this should be TRUE, otherwise FALSE.
fast	A boolean variable to do a faster implementation.
tol	The tolerance level to stop the Newton-Raphson algorithm for finding kappa.
plot	If you want to see the data plotted on a cicrle make this TRUE.

Details

It returns the circular mean, mean resultant length, variance, standard deviation and concentration parameter. So, basically it returns the estimated values of the parameters of the von Mises distribution.

Value

If fast = FALSE a list including all the following. If fast = TRUE less items are returned.

mesos	The circular mean direction.
confint	The 95% confidence interval for the circular mean direction.
kappa	The concentration parameter.
MRL	The mean resultant length.
circvariance	The circular variance.
circstd	The circular standard deviation.
loglik	The log-likelihood of the fitted von Mises distribution.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail] and Giorgos Athineou <[e-mail]>.

References

Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.

See Also

spml.mle, rvonmises, vm.kde, vmf.mle, group.vm, hcf.circaov

Examples

x <- rvonmises(50, 2.5, 15, rads = TRUE)
circ.summary(x, rads = TRUE, plot = TRUE)

Directional documentation built on Oct. 30, 2024, 9:15 a.m.