Bootstrap ANOVA for circular data {Directional} | R Documentation |
Bootstrap ANOVA for circular data
Description
Bootstrap ANOVA for circular data.
Usage
hcfcircboot(u, ina, rads = TRUE, B = 999)
hetcircboot(u, ina, rads = TRUE, B = 999)
Arguments
u |
A numeric vector containing the data of all groups. |
ina |
The grouping variables. A factor or a numerical vector specifying the groups to which each observation belongs to. |
rads |
If the data are in radians, this should be TRUE and FALSE otherwise. |
B |
The number of bootstraps to perform. |
Details
The high concentration (hcfcircboot), or the non equal concentration parameters approach (hetcircboot) is used.
Value
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. |
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
References
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.
See Also
Examples
u1 <- rvonmises(20, 2.4, 5)
u2 <- rvonmises(20, 2.4, 10)
hcfcirc.boot(u1, u2)