Analysis of variance for circular data
Analysis of variance for circular data.
hcf.circaov(u, ina) lr.circaov(u, ina) het.circaov(u, ina) embed.circaov(u, ina)
u |
A numeric vector containing the data that are expressed in rads. |
ina |
A numerical or factor variable indicating the group of each value. |
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.
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. |
Michail Tsagris
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.
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)
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