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\name{plot-hist}
\alias{histPlot}
\alias{assetsHistPlot}
\alias{assetsLogDensityPlot}
\title{Histogram Plots of Assets}
\description{
Displays density of assets returns as a histogram and/or
as log density plot.
}
\usage{
assetsHistPlot(x, col = "steelblue", skipZeros = FALSE, \dots)
assetsLogDensityPlot(x, estimator = c("hubers", "sample", "both"),
labels = TRUE, \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{skipZeros}{
a logical, should zeros be skipped in the histogram plot of the
return series ?
}
\item{col}{
a character string, defining the color to fill the boxes.
}
\item{estimator}{
a character string naming the type of estimator to fit the mean
and variance of the normal density. This may be either \code{"huber"},
\code{"sample"}, or \code{"both"}.
}
\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{\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:
x <- LPP2005REC
head(x)
## assetsHistPlot -
# Create Histogram Plot: assetsHistPlot -
# par(mfrow = c(2, 2))
assetsHistPlot(x[, 1:4])
## assetsLogDensityPlot -
#Create Log Density Plot: assetsLogDensityPlot -
# par(mfrow = c(1, 1))
assetsLogDensityPlot(x[, "ALT"], estimator = "both")
}
\keyword{models}
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