Circular distance correlation between two circular variables | R Documentation |

Circular distance correlation between two circular variables.

```
circ.dcor(theta, phi, rads = FALSE)
```

`theta` |
The first cirular variable. |

`phi` |
The other cirular variable. |

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

The angular data are transformed to their Euclidean coordinates and then the distance correlation is computed.

A list including:

`dcov` |
The distance covariance. |

`dvarX` |
The distance variance of x. |

`dvarY` |
The distance variance of Y. |

`dcor` |
The distance correlation. |

Michail Tsagris.

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

G.J. Szekely, M.L. Rizzo and N. K. Bakirov (2007). Measuring and Testing Independence by Correlation of Distances. Annals of Statistics, 35(6):2769-2794.

```
circlin.cor, circ.cor2, spher.dcor
```

```
y <- runif(50, 0, 2 * pi)
x <- runif(50, 0, 2 * pi)
circ.dcor(x, y, rads = TRUE)
```

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