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\name{plot-binning}
\alias{binningPlot}
\alias{assetsHistPairsPlot}
\title{Bivariate Histogram Plots of Assets}
\description{
Displays bivariate histogram plots of assets returns.
}
\usage{
assetsHistPairsPlot(x, bins = 30, method = c("square", "hex"), \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{bins}{
an integer value, the number of bins used for the biariate
histogram.
}
\item{method}{
a character string denoting whic h type of binning should be
used, either \code{"squared"} or \code{"hexagonal"}.
}
\item{\dots}{
optional arguments to be passed.
}
}
\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
head(LPP)
## assetsHistPairsPlot -
# Create a bivariate Binning Plot: assetsHistPairsPlot -
assetsHistPairsPlot(LPP[, c("LMI", "ALT")])
## assetsHistPairsPlot -
# Now with hexagonal Bins:
assetsHistPairsPlot(LPP[, c("LMI", "ALT")], method = "hex")
grid(col="red")
}
\keyword{models}
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