Bootstrap ANOVA for (hyper-)spherical data | R Documentation |
Bootstrap ANOVA for (hyper-)spherical data.
hcfboot(x, ina, B = 999)
hetboot(x, ina, B = 999)
x |
A matrix with the combined data (from all groups) in Euclidean coordinates, i.e. unit vectors. |
ina |
The grouping variables. A factor or a numerical vector specifying the groups to which each observation belongs to. |
B |
The number of bootstraps to perform. |
The high concentration (hcfboot), or the non equal concentration parameters approach (hetboot) is used.
This is an "htest"class object. Thus it returns a list including:
statistic |
The test statistic value. |
parameter |
The degrees of freedom of the test. Since these are bootstrap based tests this is "NA". |
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.
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.boot, hcf.aov
x <- rvmf(60, rnorm(3), 10)
ina <- rep(1:3, each = 20)
hcfboot(x, ina)
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