# RobCat: Robust CAT Algorithm In MVTests: Multivariate Hypothesis Tests

 RobCat R Documentation

## Robust CAT Algorithm

### Description

`RobCat` computes p value based on robust CAT algorithm to compare two means vectors under multivariate Behrens-Fisher problem.

### Usage

``````RobCat(X, Y, M = 1000, alpha = 0.75)
``````

### Arguments

 `X` a matrix or data frame for first group. `Y` a matrix or data frame for second group. `M` iteration number and the default is 1000. `alpha` numeric parameter controlling the size of the subsets over which the determinant is minimized; roughly alpha*n, observations are used for computing the determinant. Allowed values are between 0.5 and 1 and the default is 0.75.

### Details

This function computes p value based on robust CAT algorithm to compare two means vectors under multivariate Behrens-Fisher problem. When p value<0.05, it means the difference of two mean vectors is significant statistically.

### Value

a list with 2 elements:

 `Cstat` Calculated value of test statistic `pval` The p value

### Author(s)

Hasan BULUT <hasan.bulut@omu.edu.tr>

### Examples

``````
data(iris)
RobCat(X=iris[1:20,-5],Y=iris[81:100,-5])
``````

MVTests documentation built on Nov. 3, 2023, 5:11 p.m.