colwatsons: Column-wise uniformity tests for circular data

In Directional: A Collection of Functions for Directional Data Analysis

Column-wise uniformity tests for circular data

Description

Column-wise uniformity tests for circular data.

Usage

colwatsons(u, rads = FALSE)

Arguments

u	A numeric matrix containing the circular data which are expressed in radians. Each column is a different sample.
rads	A boolean variable. If the data are in radians, put this TRUE. If the data are expressed in degrees make this FALSE.

Details

These tests are used to test the hypothesis that the data come from a circular uniform distribution.

Value

A matrix with two columns, the value of the test statistic and its associated p-value.

Author(s)

Michail Tsagris.

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

References

Jammalamadaka S. Rao and SenGupta A. (2001). Topics in Circular Statistics, pg. 156–157.

See Also

watson, kuiper, fishkent

Examples

x <- matrix( rvonmises(n = 50 * 10, m = 2, k = 0), ncol = 10 )
res<-colwatsons(x)
x <- NULL

Directional documentation built on Oct. 12, 2023, 1:07 a.m.