mgc.dist.xfm {mgc}

MGC Distance Transform

Description

Transform the distance matrices, with column-wise ranking if needed.

Usage

mgc.dist.xfm(X, Y, option = "mgc", optionRk = TRUE)

Arguments

X

[nxn] is a distance matrix

Y

[nxn] is a second distance matrix

option

is a string that specifies which global correlation to build up-on. Defaults to mgc.

'mgc'

use the MGC global correlation.

'dcor'

use the dcor global correlation.

'mantel'

use the mantel global correlation.

'rank'

use the rank global correlation.

optionRk

is a string that specifies whether ranking within column is computed or not. If option='rank', ranking will be performed regardless of the value specified by optionRk. Defaults to TRUE.

Value

A list containing the following:

A

[nxn] the centered distance matrix for X.

B

[nxn] the centered distance matrix for Y.

RX

[nxn] the column-rank matrices of X.

RY

[nxn] the column-rank matrices of Y.

Author(s)

C. Shen

Examples

library(mgc)

n=200; d=2
data <- mgc.sims.linear(n, d)
Dx <- as.matrix(dist(data$X), nrow=n); Dy <- as.matrix(dist(data$Y), nrow=n)
dt <- mgc.dist.xfm(Dx, Dy)