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% File src/library/stats/man/as.hclust.Rd% Part of the R package, http://www.R-project.org% Copyright 1995-2007 R Core Team% Distributed under GPL 2 or later\newcommand{\CRANpkg}{\href{http://CRAN.R-project.org/package=#1}{\pkg{#1}}}\name{as.hclust}\alias{as.hclust}\alias{as.hclust.default}\alias{as.hclust.twins}\title{Convert Objects to Class hclust}\usage{as.hclust(x, \dots)}\arguments{\item{x}{Hierarchical clustering object}\item{\dots}{further arguments passed to or from other methods.}}\description{Converts objects from other hierarchical clustering functions toclass \code{"hclust"}.}\details{Currently there is only support for converting objects ofclass \code{"twins"} as produced by the functions \code{diana} and\code{agnes} from the package \CRANpkg{cluster}. The default methodthrows an error unless passed an \code{"hclust"} object.}\value{An object of class \code{"hclust"}.}\seealso{\code{\link{hclust}}, and from package \CRANpkg{cluster},\code{\link[cluster]{diana}} and \code{\link[cluster]{agnes}}}\examples{x <- matrix(rnorm(30), ncol = 3)hc <- hclust(dist(x), method = "complete")% .srch <- search()if(require("cluster", quietly = TRUE)) {# is a recommended packageag <- agnes(x, method = "complete")hcag <- as.hclust(ag)## The dendrograms order slightly differently:op <- par(mfrow = c(1,2))plot(hc) ; mtext("hclust", side = 1)plot(hcag); mtext("agnes", side = 1)% if(!any("package:cluster" == .srch)) detach("package:cluster")}}\keyword{multivariate}\keyword{cluster}