Directional (version 6.8)

Circular-linear correlation: 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)

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.

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.

Author

Michail Tsagris.

R implementation and documentation: Michail Tsagris and Giorgos Athineou <[e-mail]>.

Details

The squared correlation between a circular and one or more linear variables is calculated.

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)