Performs 2 and k sample homogeneity of covariance matrices test using test, 'covTest.'

homogeneityCovariances(x, ..., covTest = BoxesM)

## Arguments

x data as a data frame, list of matrices, grouped data frame, or resample object other options passed to covTest method homogeneity of covariance matrices test method

## Value

A list with class "htest" containing the following components:

 statistic the value of homogeneity of covariance test statistic parameter the degrees of freedom for the chi-squared statistic p.value the p=value for the test estimate the estimated covariances if less than 5 dimensions null.value the specified hypothesized value of the covariance difference alternative a character string describing the alternative hyposthesis method a character string indicating what type of homogeneity of covariance test was performed

## Details

The homogeneityCovariances function is a wrapper function that formats the data for the specific covTest functions.

## Examples

homogeneityCovariances(iris, group = Species)#>
#> 	Boxes' M Homogeneity of Covariance Matrices Test
#>
#> data:  setosa, versicolor and virginica
#> Chi-Squared = 146.66, df = 2550, p-value = 1
#> alternative hypothesis: true difference in covariance matrices is not equal to 0
#>