# colwatsons: Column-wise uniformity tests for circular data In Directional: A Collection of Functions for Directional Data Analysis

 Column-wise uniformity Watson test for circular data R Documentation

## 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 <mtsagris@uoc.gr>.

### References

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

```watson, kuiper, fishkent ```
```x <- matrix( rvonmises(n = 50 * 10, m = 2, k = 0), ncol = 10 )