File: plot-binning.Rd

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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}