Anova for circular data | R Documentation |
Analysis of variance for circular data.
hcf.circaov(u, ina, rads = FALSE)
hclr.circaov(u, ina, rads = FALSE)
lr.circaov(u, ina, rads = FALSE)
het.circaov(u, ina, rads = FALSE)
embed.circaov(u, ina, rads = FALSE)
u |
A numeric vector containing the data. |
ina |
A numerical or factor variable indicating the group of each value. |
rads |
If the data are in radians, this should be TRUE and FALSE otherwise. |
The high concentration (hcf.circaov), high concentration likelihood ratio (hclr.aov), log-likelihood ratio (lr.circaov), embedding approach (embed.circaov) or the non equal concentration parameters approach (het.circaov) is used.
This is an "htest"class object. Thus it returns a list including:
statistic |
The test statistic value. |
parameter |
The degree(s) of freedom of the test. |
p.value |
The p-value of the test. |
alternative |
A character with the alternative hypothesis. |
method |
A character with the test used. |
data.name |
A character vector with two elements. |
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>.
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. (2024). An investigation of hypothesis testing procedures for circular and spherical mean vectors. Communications in Statistics-Simulation and Computation, 53(3): 1387–1408.
hclr.aov, hcfcirc.boot, hcfcircboot
x <- rvonmises(100, 2.4, 15)
ina <- rep(1:4,each = 25)
hcf.circaov(x, ina, rads = TRUE)
lr.circaov(x, ina, rads = TRUE)
het.circaov(x, ina, rads = TRUE)
embed.circaov(x, ina, rads = TRUE)
hclr.circaov(x, ina, rads = TRUE)
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