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

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

A method to cluster a number of samples using a relational (dissimila

1	rclust(dist, clusters = 2, runs = 10, counter = FALSE)

`dist`	pairwise distance matrix
`clusters`	final number of clusters
`runs`	number of randomizations to run
`counter`	use counter to display current run number

This function will return a cluster identity vector. The number of clusters requested must be 2 or greater, but 1/2 or less than the total number of samples, as the function requires at least 2 samples per cluster.

The vector returned will be the same length as the number of samples provided in the original dist matrix. The samples will have been clustered into the same number of clusters as defined in clusters

Matthew Vavrek

rclust.dist, rclust.null, rclust.weights and coi

#a null solution for the fdata example data set
data(fdata.mat)
fd.dist <- dino.dist(fdata.mat)
rclust(fd.dist, clusters = 2, runs = 10)

Loading required package: sp
Loading required package: maps
Loading required package: shapefiles
Loading required package: foreign

Attaching package: ‘shapefiles’

The following objects are masked from ‘package:foreign’:

    read.dbf, write.dbf

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