Circular-linear correlation | R Documentation |

It calculates the squared correlation between a circular and one or more linear variables.

```
circlin.cor(theta, x, rads = FALSE)
```

`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. |

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

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. |

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>.

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

```
circ.cor1, circ.cor2, spml.reg
```

```
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)
```

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