https://github.com/cran/robCompositions
Tip revision: daac2b4c2293b12523269bf2c21b43e304e733cf authored by Matthias Templ on 29 May 2018, 10:38:10 UTC
version 2.0.8
version 2.0.8
Tip revision: daac2b4
clustCoDa_qmode.R
#' Q-mode cluster analysis for compositional parts
#'
#' Clustering in using the variation matrix of compositional parts
#'
#' @aliases clustCoDa_qmode plot.clustCoDa_qmode
#' @param x compositional data represented as a data.frame
#' @param method hclust method
#' @return a hclust object
#' @author Matthias Templ (accessing the basic features of hclust that
#' are all written by other authors)
#' @export
#' @references Filzmoser, Hron, Templ
#' \emph{Applied Compositional Data Analysis},
#' Springer-Verlag, upcoming book.
#'
#' @keywords multivariate
#' @importFrom stats hclust
#' @examples
#' data(expenditures)
#' x <- expenditures
#' cl <- clustCoDa_qmode(x)
#' plot(cl)
#' cl2 <- clustCoDa_qmode(x, method = "single")
#' plot(cl2)
clustCoDa_qmode <- function(x, method="ward.D2"){
d <- as.dist(variation(x))
clust <- hclust(d, method)
return(clust)
}