mww.common.dist.LS: Test for common distribution among multiple samples

In ClairBee/AS.circular: ArchStats: circular functions

Description

Large-sample Mardia-Wheeler-Watson test for common distribution.

Usage

mww.common.dist.LS(cs.scores, sample.sizes)

Arguments

cs.scores	A list containing sine and cosine rank scores, output from the data of interest by cs.unif.scores.
sample.sizes	A vector defining the sizes of the samples that were used to produce the cs.scores object.

Value

List containing the test statistic and p-value.

Examples

cd.res <- mww.common.dist.LS(cs.unif.scores(list(q.4.a, q.4.b)), c(length(q.4.a), length(q.4.b)))

ClairBee/AS.circular documentation built on Jan. 24, 2020, 3:57 p.m.