watson.mean.test.boot: Bootstrap version of Watson's two-sample test of common mean
Description Usage Arguments Value Examples
View source: R/Two-sample-tests.R
Description
Bootstrap of Watson's nonparametric test for the similarity of a common mean for two (or more) distributions. Does not assume that the distributions tested have a common concentration or shape.
Usage
1 | watson.mean.test.boot(samples, B = 9999, show.progress = T)
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Arguments
samples |
A list containing the vectors of angles (in radians) to be tested. |
B |
Number of bootstrap samples to use to obtain the estimated p-value. Default is 9999. |
show.progress |
Boolean indicating whether or not to display a progress bar as the bootstrap is run. |
Value
List containing the test statistic, p-value and ratio of maximum to minimum sample dispersion.
Examples
1 | comp <- watson.mean.test.boot(list(q.4.a, q.4.b), B = 99)
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