fda.usc: metric.dist – R documentation

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metric.dist

Distance Matrix Computation

This function computes the distances between the rows of a data matrix by using the specified distance measure.

This function returns a distance matrix by using dist function.
The matrix dimension is (n1 x n1) if y=NULL, (n1 x n2) otherwise.

metric.dist(x, y = NULL, method = "euclidean", p = 2, dscale = 1, ...)

`x`	Data frame 1. The dimension is (`n1` x `m`).
`y`	Data frame 2. The dimension is (`n2` x `m`).
`method`	The distance measure to be used. This must be one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski".
`p`	The power of the Minkowski distance.
`dscale`	If scale is a numeric, the distance matrix is divided by the scale value. If scale is a function (as the mean for example) the distance matrix is divided by the corresponding value from the output of the function.
`...`	Further arguments passed to `dist` function.

Manuel Febrero-Bande, Manuel Oviedo de la Fuente manuel.oviedo@usc.es

## Not run: 
data(iris)
d<-metric.dist(iris[,1:4])
matplot(d,type="l",col=as.numeric(iris[,5]))

## End(Not run)

Functional Data Analysis and Utilities for Statistical Computing

v2.0.2

GPL-2

Authors

Manuel Febrero Bande [aut], Manuel Oviedo de la Fuente [aut, cre], Pedro Galeano [ctb], Alicia Nieto [ctb], Eduardo Garcia-Portugues [ctb]

Initial release

2020-02-17