https://github.com/cran/CluMix
Revision 0d1b46ce56f99be7b8c9412c34b720b0794a8ce6 authored by Manuela Hummel on 03 March 2016, 20:29:17 UTC, committed by cran-robot on 03 March 2016, 20:29:17 UTC
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Tip revision: 0d1b46ce56f99be7b8c9412c34b720b0794a8ce6 authored by Manuela Hummel on 03 March 2016, 20:29:17 UTC
version 0.3
version 0.3
Tip revision: 0d1b46c
dendro.subjects.Rd
\name{dendro.subjects}
\alias{dendro.subjects}
\title{Subjects dendrogram}
\description{Get dendrogram for subjects (observations) based on variables of mixed data types}
\usage{
dendro.subjects(data)
}
\arguments{
\item{data}{data frame}
}
\details{Distances between subjects are based on Gower's general similarity coefficient with an extension of Podani for ordinal variables, see \code{\link[FD]{gowdis}}. In the case that all variables are quantitative, Euclidean distances are used. Then a dendrogram is derived by standard hierarchical clustering (\code{\link[stats]{hclust}} with default options).}
\value{An object of class \code{\link[stats]{dendrogram}}}
\references{
Gower J (1971). A general coefficient of similarity and some of its properties. Biometrics, 27:857-871.
Podani J (1999). Extending Gower's general coefficient of similarity to ordinal characters. Taxon, 48(2):331-340.
}
\author{Manuela Hummel}
%\note{
%% ~~further notes~~
%}
\seealso{\code{\link{dendro.variables}}, \code{\link{dist.subjects}}, \code{\link{mix.heatmap}}}
\examples{
data(mixdata)
dend <- dendro.subjects(mixdata)
plot(dend)
}
\keyword{ cluster }
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