https://github.com/cran/multivariance
Revision e0320c9516346f2d4fe715a5eb662d6aa790a6cb authored by Björn Böttcher on 04 January 2019, 23:20:03 UTC, committed by cran-robot on 04 January 2019, 23:20:03 UTC
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Tip revision: e0320c9516346f2d4fe715a5eb662d6aa790a6cb authored by Björn Böttcher on 04 January 2019, 23:20:03 UTC
version 1.2.1
Tip revision: e0320c9
multicorrelation.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/multivariance-functions.R
\name{multicorrelation}
\alias{multicorrelation}
\title{distance multicorrelation}
\usage{
multicorrelation(x, vec = NA, squared = FALSE, ...)
}
\arguments{
\item{x}{either a data matrix or an array of centered distance matrices}

\item{vec}{if x is a matrix, then this indicates which columns are treated together as one sample; if x is an array, these are the indexes for which the multivariance is calculated. The default is all columns and all indexes, respectively.}

\item{squared}{if \code{FALSE} it returns the actual multivariance, otherwise the squared multivariance (less computation)}

\item{...}{these are passed to \code{\link{cdms}} (which is only invoked if \code{x} is a matrix)}
}
\description{
computes the distance multicorrelation
}
\details{
This is just a wrapper for \code{\link{multivariance}(x,vec,Nscale = FALSE,correlation = TRUE,squared = squared,...)}.
}
\references{
For the theoretic background see the references given on the main help page of this package: \link{multivariance-package}.
}
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