circlin.cor: Circular-linear correlation

In Directional: A Collection of Functions for Directional Data Analysis

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 [e-mail] and Giorgos Athineou <[e-mail]>.

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)

Directional documentation built on Oct. 12, 2023, 1:07 a.m.