https://github.com/cran/flexmix
Tip revision: 05074087fae649cb3dad078cd6a95ec17bef7604 authored by Friedrich Leisch on 11 May 2006, 00:00:00 UTC
version 1.1-2
version 1.1-2
Tip revision: 0507408
ExNclus.Rd
%
% Copyright (C) 2004-2005 Friedrich Leisch
% $Id: ExNclus.Rd 1777 2005-08-18 09:19:27Z leisch $
%
\name{ExNclus}
\alias{ExNclus}
\alias{Nclus}
\title{Artificial Example with 4 Gaussians}
\description{
A simple artificial example for normal clustering with 4 latent
classes, all of
them having a Gaussian distribution. See the function definition for
true means and covariances.
}
\usage{
ExNclus(n)
data(Nclus)
}
\arguments{
\item{n}{Number of observations in the two small latent classes.}
}
\details{
The \code{Nclus} data set can be re-created by \code{ExNclus(100)}
using \code{set.seed(2602)}, it has been saved as a data set for
simplicity of examples only.
}
\examples{
data(Nclus)
require("MASS")
eqscplot(Nclus, col=rep(1:4, c(100, 100, 150, 200)))
}
\keyword{datasets}