comp_stat: Compute multiple statistics

In funStatTest: Statistical Testing for Functional Data

Compute multiple statistics

Description

Computation of the different statistics defined in the package. See Smida et al (2022) for more details.

Usage

comp_stat(MatX, MatY, stat = c("mo", "med"))

Arguments

MatX	numeric matrix of dimension ⁠n_point x n⁠ containing n trajectories (in columns) of size n_point (in rows).
MatY	numeric matrix of dimension ⁠n_point x m⁠ containing m trajectories (in columns) of size n_point (in rows).
stat	character string or vector of character string, name of the statistics for which the p-values will be computed, among "mo", "med", "wmw", "hkr", "cff".

Details

For HKR statistics, only the values of the two statistics, namely HKR1 and HKR2 and not the eigen values (see stat_hkr() for more details).

Value

list of named numeric value corresponding to the statistic values listed in 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, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10485252.2022.2064997")}, hal-03658578

See Also

stat_mo(), stat_med(), stat_wmw(), stat_hkr(), stat_cff()

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

res <- comp_stat(MatX, MatY, stat = c("mo", "med", "wmw", "hkr", "cff"))
res

funStatTest documentation built on May 29, 2024, 10:26 a.m.