Column-wise uniformity tests for circular data
Column-wise uniformity tests for circular data.
colwatsons(u)
u |
A numeric matrix containing the circular data which are expressed in radians. Each column is a different sample. |
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.
A matrix with two columns, the value of the test statistic and its associated p-value.
Michail Tsagris
R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr>
Jammalamadaka, S. Rao and SenGupta, A. (2001). Topics in Circular Statistics, pg. 153-55 (Kuiper's test) & 156-157 (Watson's test).
x <- matrix( rvonmises(n = 50 * 10, m = 2, k = 0), ncol = 10 ) res<-colwatsons(x) x <- NULL
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