permut_pval {funStatTest} | R Documentation |
Permutation-based computation of p-values
Description
Computation of the p-values associated to any statistics described in the package with the permutation methods. See Smida et al (2022) for more details.
Usage
permut_pval(MatX, MatY, n_perm = 100, stat = c("mo", "med"), verbose = FALSE)
Arguments
MatX |
numeric matrix of dimension |
MatY |
numeric matrix of dimension |
n_perm |
integer, number of permutation to compute the p-values. |
stat |
character string or vector of character string, name of the
statistics for which the p-values will be computed, among |
verbose |
boolean, if TRUE, enable verbosity. |
Value
list of named numeric value corresponding to the p-values for each
statistic listed in the stat
input.
Author(s)
Zaineb Smida, Ghislain DURIF, Lionel Cucala
References
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
stat_mo()
, stat_med()
,
stat_wmw()
, stat_hkr()
,
stat_cff()
, comp_stat()
Examples
# simulate small data for the example
simu_data <- simul_data(
n_point = 20, n_obs1 = 4, n_obs2 = 5, c_val = 10,
delta_shape = "constant", distrib = "normal"
)
MatX <- simu_data$mat_sample1
MatY <- simu_data$mat_sample2
res <- permut_pval(
MatX, MatY, n_perm = 100, stat = c("mo", "med", "wmw", "hkr", "cff"),
verbose = TRUE)
res