Rayleigh Test of Uniformity
Performs a Rayleigh test of uniformity, assessing the significance of
the mean resultant length. The alternative hypothesis is a unimodal
distribution with unknown mean direction and unknown mean resultant
length if mu is NULL otherwise the alternative hypothesis is a unimodal distribution with a specified mean direction and unknown mean resultant length.
rayleigh.test(x, mu = NULL) ## S3 method for class 'rayleigh.test' print(x, digits=4, ...)
x |
a vector. The object is coerced to class
|
mu |
Specified mean direction in alternative hypothesis as a |
digits |
integer indicating the precision to be used. |
... |
further arguments passed to or from other methods. |
Returns a list with three components: the mean resultant length, statistic, the p-value of the test statistic, p.value and
the value of the alternative mean direction mu.
Claudio Agostinelli and Ulric Lund
Jammalamadaka, S. Rao and SenGupta, A. (2001). Topics in Circular Statistics, Sections 3.3.2 and 3.4.1, World Scientific Press, Singapore.
x <- rvonmises(n=25, mu=circular(pi), kappa=2) # General alternative rayleigh.test(x) # Specified alternative rayleigh.test(x, mu=circular(0))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.