circlin.cor: Circular-linear correlation

In Rfast: A Collection of Efficient and Extremely Fast R Functions

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 <[e-mail]>

References

Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.

See Also

spml.reg

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

Rfast documentation built on Nov. 9, 2023, 5:06 p.m.