stat_wmw {funStatTest} | R Documentation |
Wilcoxon-Mann-Whitney (WMW) statistic
Description
The Wilcoxon-Mann-Whitney statistic defined in Chakraborty & Chaudhuri (2015) (and noted WMW in Smida et al 2022) is computed to compare two sets of functional trajectories.
Usage
stat_wmw(MatX, MatY)
Arguments
MatX |
numeric matrix of dimension |
MatY |
numeric matrix of dimension |
Value
numeric value corresponding to the WMW statistic value
Author(s)
Zaineb Smida, Ghislain DURIF, Lionel Cucala
References
Anirvan Chakraborty, Probal Chaudhuri, A Wilcoxon–Mann–Whitney-type test for infinite-dimensional data, Biometrika, Volume 102, Issue 1, March 2015, Pages 239–246, doi:10.1093/biomet/asu072
Zaineb Smida, Lionel Cucala, Ali Gannoun & Ghislain Durif (2022) A median test for functional data, Journal of Nonparametric Statistics, 34:2, 520-553, doi:10.1080/10485252.2022.2064997, hal-03658578
See Also
Examples
simu_data <- simul_data(
n_point = 100, n_obs1 = 50, n_obs2 = 75, c_val = 10,
delta_shape = "constant", distrib = "normal"
)
MatX <- simu_data$mat_sample1
MatY <- simu_data$mat_sample2
stat_wmw(MatX, MatY)