Directional (version 6.1)

Permutation based 2-sample mean test for circular data: Permutation based 2-sample mean test for circular data

Description

Permutation based 2-sample mean test for circular data.

Usage

hcfcirc.perm(u1, u2, rads = TRUE, B = 999)
hetcirc.perm(u1, u2, rads = TRUE, B = 999)
lrcirc.perm(u1, u2, rads = TRUE, B = 999)
hclrcirc.perm(u1, u2, rads = TRUE, B = 999)
embedcirc.perm(u1, u2, rads = TRUE, B = 999)

Value

A vector including:

test

The value of the test statistic.

p-value

The p-value of the test.

kappa

The concentration parameter based on all the data. If the het.circaov is used this argument is not returned.

Arguments

u1

A numeric vector containing the data of the first sample.

u2

A numeric vector containing the data of the first sample.

rads

If the data are in radians, this should be TRUE and FALSE otherwise.

B

The number of permutations to perform.

Author

Michail Tsagris.

R implementation and documentation: Michail Tsagris .

Details

The high concentration (hcfcirc.perm), log-likelihood ratio (lrcirc.perm), high concentration log-likelihood ratio (hclrcirc.perm), embedding approach (embedcirc.perm) or the non equal concentration parameters approach (hetcirc.perm) is used.

References

Mardia K. V. and Jupp P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.

Rumcheva P. and Presnell B. (2017). An improved test of equality of mean directions for the Langevin-von Mises-Fisher distribution. Australian & New Zealand Journal of Statistics, 59(1): 119--135.

Tsagris M. and Alenazi A. (2022). An investigation of hypothesis testing procedures for circular and spherical mean vectors. Communications in Statistics-Simulation and Computation (Accepted for publication).

See Also

hcf.circaov, het.aov

Examples

u1 <- rvonmises(20, 2.4, 5)
u2 <- rvonmises(20, 2.4, 10)
hcfcirc.perm(u1, u2)
lrcirc.perm(u1, u2)