# comp_stat: Compute multiple statistics In funStatTest: Statistical Testing for Functional Data

 comp_stat R Documentation

## 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

`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.