| Circular correlations between one and many circular variables {Directional} | R Documentation |
Circular correlations between two circular variables
Description
Circular correlations between two circular variables.
Usage
circ.cors1(theta, phi, rads = FALSE)
circ.cors2(theta, phi, rads = FALSE)
Arguments
theta |
The first cirular variable expressed in radians, not degrees. |
phi |
The other cirular variable. In the case of "circ.cors1" this is a matrix with many circular variables. In either case, the values must be in radians, not degrees. |
rads |
If the data are expressed in rads, then this should be TRUE. If the data are in degrees, then this is FALSE. |
Details
Correlation for circular variables using the cosinus and sinus formula of Jammaladaka and SenGupta (1988).
Value
A matrix with two columns, the correlations and the p-values.
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
References
Jammalamadaka, R. S. and Sengupta, A. (2001). Topics in circular statistics. World Scientific.
Jammalamadaka, S. R. and Sarma, Y. R. (1988). A correlation coefficient for angular variables. Statistical Theory and Data Analysis, 2:349–364.
Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.
See Also
Examples
y <- runif(50, 0, 2 * pi)
x <- matrix(runif(50 * 10, 0, 2 * pi), ncol = 10)
circ.cors1(y, x, rads = TRUE)