get.dist: Calculates 26 possible resemblance measures.

Description

This function allows users access to 26 resemblance measures . This includes five not previously available in R. Many of the measures are programmed with the function designdist from library vegan. Minkowski's distance requires an additional specification for power. The default is power = 2 which makes the measure equivalent to Euclidean distance.

Usage

get.dist(data, method, minkowski.power = 2)

Arguments

data

A matrix for which resemblances between rows will be calculated

method

One of twenty six possible resemblance measures. These are:

"matching",
 "rogers", "jaccard.pa", "sorenson", "kulkczynski.pa", "ochiai",
  "gower", "steinhaus", "kulkczynski.q", "jaccard.q", "euclidean",
 "rel.euclidean", "manhattan", "czekanows

minkowski.power

Minkowski's distance requires a specification for power. The default is minkowski.power = 2 which makes the measure equivalent to Euclidean distance.

Value

Returns a matrix of class(dist).

References

Aho, K. In prep. Applied statistics for biologists, a textbook using R. Legendre, P, and Legendre, L. (1998) Numerical ecology, 2nd English edition. Elsevier, Amsterdam, The Netherlands. Oksanen, J., Kindt, R., Legendre, P., O'Hara, B., Simpson, G. L., and Stevens, M. H. H. (2008) vegan: community ecology package. R package version 1.13-0. http://vegan.r-forge.r-project.org

Examples

Run this code

library(vegan)
data(varespec)
get.dist(varespec,method="steinhaus")