rclust.null: Relational Clustering
In fossil: Palaeoecological and Palaeogeographical Analysis Tools

Description Usage Arguments Details Value Author(s) See Also Examples

A Monte Carlo method for calculating a null/random clustering solution based on the type and arrangement of a known clustering solution.

1	rclust.null(groups, dist)

`groups`	cluster identity vector
`dist`	original pairwise distance matrix

This function calculates a random/null clustering solution based on a given solution. It resamples the data and reassigns samples to groups, keeping the same group sizes.

A matrix equal in rows to the number of clusters originally given, with two columns for mean within group distance and standard deviation respectively.

Matthew Vavrek

To cluster the data, use the function rclust; see as well rclust.weights, rclust.dist

#a null solution for the fdata example data set
data(fdata.mat)
fd.dist <- dino.dist(fdata.mat)
fd.clust <- rclust(fd.dist, 2)
rclust.null(fd.clust, fd.dist)