circ.cor1: Circular correlations between two circular variables

In Directional: A Collection of Functions for Directional Data Analysis

Circular correlations between two circular variables

Description

Circular correlations between two circular variables.

Usage

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

circ.cor2(theta, phi, rads = FALSE)

Arguments

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.

Details

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).

Value

A vector including:

rho	The value of the correlation coefficient.
p-value	The p-value of the zero correlation hypothesis testing.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail] and Giorgos Athineou <[e-mail]>.

References

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.

See Also

circlin.cor, circ.cor2, spml.reg

Examples

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

Directional documentation built on Oct. 12, 2023, 1:07 a.m.