https://github.com/cran/nFactors
Revision 875465dbb701152a2de23d9377cbe4c2604c4ad0 authored by Gilles Raiche on 14 October 2009, 00:00:00 UTC, committed by Gabor Csardi on 14 October 2009, 00:00:00 UTC
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Tip revision: 875465dbb701152a2de23d9377cbe4c2604c4ad0 authored by Gilles Raiche on 14 October 2009, 00:00:00 UTC
version 2.3.1
Tip revision: 875465d
diagReplace.rd
\name{diagReplace}
\alias{diagReplace}
\title{ Replacing Upper or Lower Diagonal of a Correlation or Covariance Matrix}

\description{
 The \code{diagReplace} function returns a modified correlation or covariance
 matrix by replacing upper diagonal with lower diagonal, or lower diagonal with upper
 diagonal.
 }

\usage{
 diagReplace(R, upper=TRUE)
 }

\arguments{
  \item{R}{     numeric: correlation or covariance matrix}
  \item{upper}{ logical: if \code{TRUE} the upper diagonal is replaced with the lower
                diagonal. If \code{FALSE}, lower diagonal is replaced with upper diagonal.}
 }

\value{
  \item{R }{ numeric: correlation or covariance matrix }
 }



\author{ 
    Gilles Raiche \cr
    Centre sur les Applications des Modeles de Reponses aux Items (CAMRI) \cr
    Universite du Quebec a Montreal\cr
    \email{raiche.gilles@uqam.ca}, \url{http://www.er.uqam.ca/nobel/r17165/}
 }

\examples{
# .......................................................
# Example from Kim and Mueller (1978, p. 10)
# Population: upper diagonal
# Simulated sample: lower diagnonal
 R <- matrix(c( 1.000, .6008, .4984, .1920, .1959, .3466,
                .5600, 1.000, .4749, .2196, .1912, .2979,
                .4800, .4200, 1.000, .2079, .2010, .2445,
                .2240, .1960, .1680, 1.000, .4334, .3197,
                .1920, .1680, .1440, .4200, 1.000, .4207,
                .1600, .1400, .1200, .3500, .3000, 1.000),
                nrow=6, byrow=TRUE)

# Replace upper diagonal by lower diagonal
 RU <- diagReplace(R, upper=TRUE)

# Replace lower diagonal by upper diagonal
 RL <- diagReplace(R, upper=FALSE)
# .......................................................
 }

\keyword{ multivariate }

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