Nothing
#' Tests for Homogeneity of Covariance Matrices
#'
#'
#' Performs tests for homogeneity of 2 and k covariance matrices.
#'
#' @param x data as a list of matrices
#' @param ... other options passed to covTest method
#'
#' @return A list with class "htest" containing the following components:
#'
#'\tabular{ll}{
#' \code{statistic} \tab the value of homogeneity of covariance test statistic \cr
#' \tab \cr
#' \code{parameter} \tab the degrees of freedom for the chi-squared statistic \cr
#' \tab \cr
#' \code{p.value} \tab the p=value for the test \cr
#' \tab \cr
#' \code{estimate} \tab the estimated covariances if less than 5 dimensions \cr
#' \tab \cr
#' \code{null.value} \tab the specified hypothesized value of the covariance difference \cr
#' \tab \cr
#' \code{alternative} \tab a character string describing the alternative hyposthesis \cr
#' \tab \cr
#' \code{method} \tab a character string indicating what type of homogeneity of covariance test was performed \cr
#' \tab \cr
#' \code{data.name} \tab a character string giving the names of the data
#'}
#'
#' @family Testing for Homogeneity of Covariance Matrices
#' @name homogeneityStatistics
#'
#' @examples
#' irisSpecies <- unique(iris$Species)
#'
#' iris_ls <- lapply(irisSpecies,
#' function(x){as.matrix(iris[iris$Species == x, 1:4])}
#' )
#'
#' names(iris_ls) <- irisSpecies
#'
#' Ahmad2017(iris_ls)
NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.