Circular-linear correlation {Rfast} | 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)
Arguments
theta |
A circular variable expressed in radians. |
x |
The linear variable or a matrix containing many linear variables. |
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>
References
Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.
See Also
Examples
phi <- rvonmises(50, 2, 20, rads = TRUE)
x <- 2 * phi + rnorm(50)
y <- matrix(rnorm(50 * 5), ncol = 5)
res<-circlin.cor(phi, x)
res<-circlin.cor(phi, y)
y <- NULL
[Package Rfast version 2.1.0 Index]