ccd {cccd}

Cluster Catch Digraphs

Description

construct the cluster catch digraph from a data matrix.

Usage

ccd(data, m = 1, alpha = 0.05, sequential = TRUE, method = NULL)
## S3 method for class 'ccd'
plot(x,...)

Arguments

data

a matrix of observations.

m

slope of the null hypothesis curve.

alpha

alpha for the K-S test if sequential=T.

sequential

use the sequential or non-sequential version.

method

the method used for the distance. See dist.

x

an object of class ccd.

...

arguments passed to plot.cccd.

Details

cluster cover digraph. plot.ccd is just a call to plot.cccd.

Value

an object of class igraph. In addition, this contains the attributes:

R

the radii.

stats

the K-S statistics.

layout

the data vectors.

walks

the y-values of the random walks.

fs

the null hypothesis curve.

A

the adjacency matrix.

m, alpha

arguments passed to ccd.

Author(s)

David J. Marchette [e-mail]

References

D.J. Marchette, Random Graphs for Statistical Pattern Recognition, John Wiley & Sons, 2004.

See Also

cccd

Examples

x <- matrix(rnorm(100),ncol=2)
G <- ccd(x)
## Not run: 
plot(G)

## End(Not run)