R: Uniformity tests for circular data

Uniformity test for circular data {Rfast} | R Documentation

## Uniformity tests for circular data

### Description

Hypothesis tests of uniformity for circular data.

### Usage

    kuiper(u)

    watson(u)

### Arguments

`u` | A numeric vector containing the circular data which are expressed in radians.

### Details

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

### Value

A vector with two elements, the value of the test statistic and its associated p-value.

### Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@uoc.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

`vmf.mle, rvonmises`

### Examples

    x <- rvonmises(n = 50, m = 2, k = 10)
    res<-kuiper(x)
    res<-watson(x)
    x <- runif(50, 0, 2 * pi)
    res<-kuiper(x)
    res<-watson(x)

[Package Rfast version 2.0.4 Index]