Directional: circ.cor1 – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

circ.cor1

Circular correlations between two circular variables

Circular correlations between two circular variables.

circ.cor1(theta, phi, rads = FALSE)

circ.cor2(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.

circ.cor1: Correlation for circular variables using the cosinus and sinus formula of Jammaladaka and SenGupta (1988).

circ.cor2: Correlation for circular variables using the cosinus and sinus formula of Mardia and Jupp (2000).

A vector including:

`rho`	The value of the correlation coefficient.
`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>

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.

y <- runif(50, 0, 2 * pi)
x <- runif(50, 0, 2 * pi)
circ.cor1(x, y, rads = TRUE)
circ.cor2(x, y, rads = TRUE)

A Collection of R Functions for Directional Data Analysis

v4.9

GPL-2

Authors

Michail Tsagris, Giorgos Athineou, Anamul Sajib, Eli Amson, Micah J. Waldstein

Initial release

2021-03-26