Revision 13a20a05ba53faf0cbd40e9aefdcf87f9ca6d450 authored by David J. Marchette on 11 November 2010, 00:00:00 UTC, committed by Gabor Csardi on 11 November 2010, 00:00:00 UTC
1 parent c8cf498
ccd.Rd
\name{ccd}
\alias{ccd}
\title{ Cluster Catch Digraphs}
\description{
construct the cluster catch digraph from a data matrix.
}
\usage{
ccd(data, m = 1, alpha = 0.05, sequential = TRUE)
}
\arguments{
\item{data}{ a matrix of observations}
\item{m}{ slope of the null hypothesis curve}
\item{alpha}{ alpha for the K-S test if \code{sequential=T}}.
\item{sequential}{ use the sequential or non-sequential version}
}
\details{
cluster cover digraph.
}
\value{
an object of class igraph. In addition, this contains the attributes:
\item{R}{the radii.}
\item{stats}{ the K-S statistics.}
\item{layout}{the data vectors.}
\item{walks}{the y-values of the random walks.}
\item{fs}{the null hypothesis curve.}
\item{A}{ the adjacency matrix.}
\item{m,alpha}{arguments passed to \code{ccd}.}
}
\references{
D.J. Marchette, Random Graphs for Statistical Pattern Recognition,
John Wiley & Sons, 2004.
}
\author{ David J. Marchette david.marchette@navy.mil}
\seealso{ \code{\link{cccd}}}
\examples{
x <- matrix(rnorm(100),ncol=2)
G <- ccd(x)
\dontrun{
plotCCD(G)
}
}
\keyword{ math }
\keyword{ multivariate }
Computing file changes ...