dist {coda.base}

Distance Matrix Computation (including Aitchison distance)

Description

This function overwrites dist function to contain Aitchison distance between compositions.

Usage

dist(x, method = "euclidean", ...)

Arguments

x

compositions method

method

the distance measure to be used. This must be one of "aitchison", "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". Any unambiguous substring can be given.

...

arguments passed to dist function

Value

dist returns an object of class "dist".

See Also

See functions dist.

Examples

X = exp(matrix(rnorm(10*50), ncol=50, nrow=10))

(d <- dist(X, method = 'aitchison'))
plot(hclust(d))

# In contrast to Euclidean distance
dist(rbind(c(1,1,1), c(100, 100, 100)), method = 'euc') # method = 'euclidean'
# using Aitchison distance, only relative information is of importance
dist(rbind(c(1,1,1), c(100, 100, 100)), method = 'ait') # method = 'aitchison'