circ.cor1: Circurlar correlations between two circular variables

In Rfast2: A Collection of Efficient and Extremely Fast R Functions II

Circurlar correlations between two circular variables

Description

Circurlar correlations between two circular variables.

Usage

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

circ.cors1(theta, phi, pvalue = FALSE)

Arguments

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.

Details

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

Value

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.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [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.

See Also

spml.reg

Examples

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)

Rfast2 documentation built on May 29, 2024, 8:45 a.m.