Bootstrap ANOVA for circular data.
hcfcircboot(u, ina, rads = TRUE, B = 999)
hetcircboot(u, ina, rads = TRUE, B = 999)This is an "htest"class object. Thus it returns a list including:
The test statistic value.
The degrees of freedom of the test. Since these are bootstrap based tests this is "NA".
The p-value of the test.
A character with the alternative hypothesis.
A character with the test used.
A character vector with two elements.
A numeric vector containing the data of all groups.
The grouping variables. A factor or a numerical vector specifying the groups to which each observation belongs to.
If the data are in radians, this should be TRUE and FALSE otherwise.
The number of bootstraps to perform.
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
The high concentration (hcfcircboot), or the non equal concentration parameters approach (hetcircboot) is used.
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.
hcf.circaov, het.aov
u1 <- rvonmises(20, 2.4, 5)
u2 <- rvonmises(20, 2.4, 10)
hcfcirc.boot(u1, u2)
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