\HeaderA{gghistogram}{Grob function: histogram}{gghistogram}
\keyword{hplot}{gghistogram}
\begin{Description}\relax
Draw a histogram
\end{Description}
\begin{Usage}
\begin{verbatim}gghistogram(plot = .PLOT, aesthetics=list(), ..., data=plot$data)\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{plot}] the plot object to modify
\item[\code{aesthetics}] named list of aesthetic mappings, see details for more information
\item[\code{...}] other options, see details for more information
\item[\code{data}] data source, if not specified the plot default will be used
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
Aesthetic mappings that this grob function understands:

Conceptually, the histogram is one of the most complicated
of the grob functions, becuase it takes a 1D data set and makes
it two dimensional.  This necessitates an extra step, the \code{pre\_histogram}
function which bins the data and returns the bins with their counts.
This data is then used my \code{grob\_histogram}
to plot the points.

\Itemize{
\item x: x position (required)
}

These can be specified in the plot defaults (see \code{\LinkA{ggplot}{ggplot}}) or
in the \code{aesthetics} argument.  If you want to modify the position
of the points or any axis options, you will need to add a position scale to
the plot.  These functions start with \code{ps}, eg.
\code{\LinkA{pscontinuous}{pscontinuous}} or \code{\LinkA{pscategorical}{pscategorical}}

Other options:

\Itemize{
\item breaks: breaks argument passed to \code{\LinkA{hist}{hist}}
\item scale: scale argument passed to \code{\LinkA{hist}{hist}}
}
\end{Details}
\begin{Author}\relax
Hadley Wickham <h.wickham@gmail.com>
\end{Author}
\begin{Examples}
\begin{ExampleCode}m <- ggplot(movies, aesthetics=list(x=rating))
gghistogram(m)\end{ExampleCode}
\end{Examples}

