range.circular {circular} | R Documentation |
Circular Range
Description
Computes the circular range of a data set and performs a test of uniformity if specified.
Usage
## S3 method for class 'circular'
range(x, test=FALSE, na.rm = FALSE, finite = FALSE,
control.circular=list(), ...)
Arguments
x |
a vector. The object is coerced to class |
test |
logical flag: if TRUE then the test of uniformity is performed; otherwise the test is not performed. Default is FALSE. |
na.rm |
logical, indicating if |
finite |
logical, indicating if all non-finite elements should be omitted. |
control.circular |
the attribute of the resulting object. |
... |
further parameter passed from/to the method. |
Details
The circular range is the shortest arc on the circle containing the entire set of data. The p-value is computed using the exact distribution of the circular range under the hypothesis of uniformity, details can be found in Mardia and Jupp (1999) pag. 107.
Value
Returns the circular range as a circular
object. If the significance test is requested the p-value of the test is returned as p.value.
Author(s)
Claudio Agostinelli and Ulric Lund
References
K.V. Mardia and P.E. Jupp (1999) Directional Statistics, Wiley.
See Also
kuiper.test
, rao.spacing.test
,
rayleigh.test
and watson.test
.
Examples
data <- rvonmises(n=50, mu=circular(0), kappa=2)
range(data, test=TRUE)
data <- circular(runif(50, 0, 2*pi))
range(data, test=TRUE)