R: Column-wise uniformity tests for circular data

Column-wise uniformity Watson test for circular data {Rfast} | R Documentation

## Column-wise uniformity tests for circular data

### Description

Column-wise uniformity tests for circular data.

### Usage

    colwatsons(u)

### Arguments

`u` | A numeric matrix containing the circular data which are expressed in radians. Each column is a different sample.

### Details

These tests are used to test the hypothesis that the data come from a circular uniform distribution. The Kuiper test is much more time consuming and this is why it not implemented yet. Once we figure out a way to make it fast, we will incldue it.

### 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 <mtsagris@yahoo.gr>

### References

Jammalamadaka, S. Rao and SenGupta, A. (2001). Topics in Circular Statistics, pg. 153-55 (Kuiper's test) & 156-157 (Watson's test).

### See Also

`watson, vmf.mle, rvonmises`

### Examples

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

[Package Rfast version 2.0.0 Index]