R: Circular-linear correlation

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@yahoo.gr>

### 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

[Package Rfast version 2.0.0 Index]