rao.spacing.test {circular} | R Documentation |
Rao's Spacing Test of Uniformity
Description
Performs Rao's spacing test of uniformity.
Usage
rao.spacing.test(x, alpha=0)
## S3 method for class 'rao.spacing.test'
print(x, digits = 4, ...)
Arguments
x |
a vector. The object is coerced to class
|
alpha |
numeric value specifying the significance level of the test. The default value is 0, in which case, a range for the p-value will be returned. Valid significance levels are 0.10, 0.05, 0.01 and 0.001. |
digits |
integer indicating the precision to be used. |
... |
further arguments passed to or from other methods. |
Details
If alpha is specified, critical values are determined (using the print
function) from a table of simulated critical points (see reference below); in this case the print
function return a further value accepted
which is TRUE
if the null hypothesis is accepted and FALSE
otherwise. If alpha is not specified, a range for the p-value is determined using the table of simulated critical points in the print
function but not reported.
Value
a list with the statistic, alpha and the number of observations.
Author(s)
Claudio Agostinelli and Ulric Lund
References
Jammalamadaka, S. Rao and SenGupta, A. (2001). Topics in Circular Statistics, Section 7.4, World Scientific Press, Singapore.
Rao, J.S. (1976). Some tests based on arc-lengths for the circle. Sankhya, The Indian Journal of Statistics, Serial B(4), 38, 329-338.
Russell, G.S. and Levitin, D.J. (1995). An expanded table of probability values for Rao's Spacing Test. Communications in Statistics - Simulation and Computation, 24, 4, 879-888.
See Also
range.circular
, kuiper.test
, rayleigh.test
and watson.test
Examples
x <- circular(runif(200, 0, 2*pi))
rao.spacing.test(x)
res <- print(rao.spacing.test(x, alpha=0.1))
res$accepted
x <- rvonmises(100, circular(0), 20)
rao.spacing.test(x)