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\name{plot-pairs}
\alias{pairsPlot}
\alias{assetsPairsPlot}
\alias{assetsCorgramPlot}
\alias{assetsCorTestPlot}
\alias{assetsCorImagePlot}
\title{Assets Pairs Plot}
\description{
Display several aspects of correlation bettween pairs of
assets.
}
\usage{
assetsPairsPlot(x, \dots)
assetsCorgramPlot(x,
method = c("pie", "shade"), \dots)
assetsCorTestPlot(x, \dots)
assetsCorImagePlot(x, labels = TRUE, show = c("cor", "test"),
use = c("pearson", "kendall", "spearman"), abbreviate = 3, \dots)
}
\arguments{
\item{x}{
any rectangular time series object which can be converted by the
function \code{as.matrix()} into a matrix object, e.g. like an
object of class \code{timeSeries}, \code{data.frame}, or \code{mts}.
}
\item{labels}{
a logical flag, if \code{TRUE} then default labels will be used,
otherwise the plots will be displayed without labels and the user
can add his own labels.
}
\item{method}{
a character string, the type of graph used in the lower panel.
}
\item{show}{
a character string, what should be pressented, correlations or
results from correlation tests?
}
\item{use}{
a character string indicating which correlation coefficient or
covariance is to be computed. One of \code{"pearson"}, the default,
\code{"kendall"}, or \code{"spearman"}.
}
\item{abbreviate}{
allows to abbreviate strings to at least \code{abbreviate}
characters, such that they remain unique, if they were.
}
\item{\dots}{
optional arguments to be passed.
}
}
\details{
\code{assetsPairsPlot}\cr
displays pairs of scatterplots of individual assets,
\code{assetsCorgramPlot}\cr
displays correlations between assets,
\code{assetsCorTestPlot}\cr
displays and tests pairwise correlations,
\code{assetsCorImagePlot}\cr
displays an image plot of a correlations.
}
\author{
Diethelm Wuertz for the Rmetrics port.
}
\references{
Wuertz, D., Chalabi, Y., Chen W., Ellis A. (2009);
\emph{Portfolio Optimization with R/Rmetrics},
Rmetrics eBook, Rmetrics Association and Finance Online, Zurich.
}
\examples{
## LPP2005REC -
# Load Swiss Pension Fund Data:
LPP <- LPP2005REC[, 1:6]
head(LPP)
## assetsPairsPlot -
# Create Pairs Plot:
assetsPairsPlot(LPP)
## assetsCorgramPlot -
# Create Corellogram Plot:
assetsCorgramPlot(LPP, method = "pie")
assetsCorgramPlot(LPP, method = "shade")
## assetsCorTestPlot -
# Create Correlation Test Plot:
assetsCorTestPlot(LPP)
## assetsCorImagePlot -
# Create Correlation Image Plot:
assetsCorImagePlot(LPP)
}
\keyword{models}
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