The R Project SVN R-packages

\name{densplot}
\alias{densplot}
\title{Probability density function estimate from MCMC output}

\usage{densplot(x, show.obs = TRUE, bwf, 
                ylim, xlab, ylab = "", type="l", main, right=TRUE, \ldots)}

\arguments{
  \item{x}{An \code{mcmc} or \code{mcmc.list} object}
  \item{show.obs}{Show observations along the x-axis}
  \item{bwf}{Function for calculating the bandwidth.  If omitted,
    the bandwidth is calculate by 1.06 times the minimum of the standard
    deviation and the interquartile range divided by 1.34 times the sample
    size to the negative one fifth power}
  \item{ylim}{Limits on y axis.  See \code{plot.window}}
  \item{xlab}{X-axis label. By default this will show the sample size
    and the bandwidth used for smoothing. See \code{plot}}
  \item{ylab}{Y-axis label. By default, this is blank. See \code{plot}}
  \item{type}{Plot type. See \code{plot}}
  \item{main}{An overall title for the plot. See \code{title}}
  \item{right}{Logical flag for discrete-valued distributions passed to
    the \code{hist} function. See Details}.
  \item{\dots}{Further graphical parameters}
}

\description{
  Displays a plot of the density estimate for each variable in \code{x},
  calculated by the \code{density} function. For discrete-valued
  variables, a histogram is produced.
}
\details{

  For discrete-valued distributions, a histogram is produced and values
  are aggregated using the pretty() function. By default, tick marks
  appear to the right of the corresponding bar in the histogram and give
  the inclusive upper limit of the hist (\code{right=TRUE}). This can be
  modified by specifying \code{right=FALSE}. In this case tick marks
  appear on the left and specify the inclusive lower limit of the bar.

  For continous distributions, if a variable is bounded below at 0, or
  bounded in the interval [0,1], then the data are reflected at the
  boundary before being passed to the density() function. This allows
  correct estimation of a non-zero density at the boundary.
}
\note{
  You can call this function directly, but it is more usually called by
  the \code{plot.mcmc} function.
}

\seealso{
  \code{\link{density}}, \code{\link{hist}}, \code{\link{plot.mcmc}}.
}
\keyword{hplot}