Circurlar correlations between two circular variables | R Documentation |

Circurlar correlations between two circular variables.

```
circ.cor1(theta, phi, pvalue = FALSE)
circ.cors1(theta, phi, pvalue = 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. |

`pvalue` |
If you want the p-value of the zero correlation hypothesis testing set this to TRUE, otherwise leave it FALSE. |

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

If you set pvalue = TRUE, then for the "circ.cor1" a vector with two values, the correlation and its associated p-value, otherwise the correlation only. For the "circ.cors1", either a vector with the correlations only or a matrix with two columns, the correlation 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.

```
spml.reg
```

```
y <- runif(50, 0, 2 * pi)
x <- runif(50, 0, 2 * pi)
circ.cor1(y, x, TRUE)
x <- matrix(runif(50 * 10, 0, 2 * pi), ncol = 10)
circ.cors1(y, x, TRUE)
```

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