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

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



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


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


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


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 #>