Description Usage Arguments Value Examples
Divide an angular data set into subsets and compare the characteristics of each subset against every other subset, to test whether they might plausibly share the same distribution.
1 | cluster.quad.tests(data, clusts, include.noise = F, reps = 999)
|
data |
Vector of angles. |
clusts |
Vector of indices denoting the cluster to which each angle has been assigned. |
include.noise |
Boolean indicator: should cluster 0 (noise cluster) be included in the output? |
A matrix containing the size of the subset tested; the Rayleigh test score (rayleigh.test
); Watson mean test score (watson.common.mean.test
); Wallraff concentration test score (wallraff.concentration.test
);
Mardia-Watson-Wheeler large-sample test of common distribution (mww.common.dist.LS
); and randomised Watson two-sample test of common distribution (same.dist.watson.rand
).
1 | c.stats <- cluster.quad.tests(q, dbscan(centres, eps = 2.5, MinPts = 4)$cluster)
|
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