hcf.circaov: Analysis of variance for circular data

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

Analysis of variance for circular data

Description

Analysis of variance for circular data.

Usage

hcf.circaov(u, ina)

lr.circaov(u, ina)

het.circaov(u, ina)

embed.circaov(u, ina)

Arguments

u	A numeric vector containing the data that are expressed in rads.
ina	A numerical or factor variable indicating the group of each value.

Details

The high concentration (hcf.circaov), log-likelihood ratio (lr.circaov), embedding approach (embed.circaov) or the non equal concentration parameters approach (het.circaov) is used.

Value

A vector including:

test	The value of the test statistic.
p-value	The p-value of the test.
kapa	The concentration parameter based on all the data. If the het.circaov is used this argument is not returned.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

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

See Also

multivm.mle, vm.nb

Examples

x <- rnorm(60, 2.3, 0.3)
ina <- rep(1:3,each = 20)
hcf.circaov(x, ina)
lr.circaov(x, ina)
het.circaov(x, ina)
embed.circaov(x, ina)

Rfast2 documentation built on Aug. 8, 2023, 1:11 a.m.