Circular correlations between one and many circular variables | R Documentation |

Circular correlations between two circular variables.

```
circ.cors1(theta, phi, rads = FALSE)
circ.cors2(theta, phi, rads = FALSE)
```

`theta` |
The first cirular variable expressed in radians, not degrees. |

`phi` |
The other cirular variable. In the case of "circ.cors1" this is a matrix with many circular variables. In either case, the values must be in radians, not degrees. |

`rads` |
If the data are expressed in rads, then this should be TRUE. If the data are in degrees, then this is FALSE. |

Correlation for circular variables using the cosinus and sinus formula of Jammaladaka and SenGupta (1988).

A matrix with two columns, the correlations and the p-values.

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

Jammalamadaka, R. S. and Sengupta, A. (2001). Topics in circular statistics. World Scientific.

Jammalamadaka, S. R. and Sarma, Y. R. (1988). A correlation coefficient for angular variables. Statistical Theory and Data Analysis, 2:349–364.

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

```
spml.reg
```

```
y <- runif(50, 0, 2 * pi)
x <- matrix(runif(50 * 10, 0, 2 * pi), ncol = 10)
circ.cors1(y, x, rads = TRUE)
```

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