| Circular-linear correlation {Directional} | R Documentation |
Circular-linear correlation
Description
It calculates the squared correlation between a circular and one or more linear variables.
Usage
circlin.cor(theta, x, rads = FALSE)
Arguments
theta |
The circular variable. |
x |
The linear variable or a matrix containing many linear variables. |
rads |
If the circualr variable is in rads, this should be TRUE and FALSE otherwise. |
Details
The squared correlation between a circular and one or more linear variables is calculated.
Value
A matrix with as many rows as linear variables including:
R-squared |
The value of the squared correlation. |
p-value |
The p-value of the zero correlation hypothesis testing. |
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>.
References
Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.
See Also
circ.cor1, circ.cor2, spml.reg
Examples
phi <- rvonmises(50, 2, 20, rads = TRUE)
x <- 2 * phi + rnorm(50)
y <- matrix(rnorm(50 * 5), ncol = 5)
circlin.cor(phi, x, rads = TRUE)
circlin.cor(phi, y, rads = TRUE)