\HeaderA{ggquantile}{Grob function: quantiles}{ggquantile}
\keyword{hplot}{ggquantile}
\begin{Description}\relax
Add quantile lines from a quantile regression
\end{Description}
\begin{Usage}
\begin{verbatim}ggquantile(plot = .PLOT, aesthetics=list(), ..., data=NULL)\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
This can be used a continuous analogue of a boxplot (see \code{\LinkA{grob\_boxplot}{grob.Rul.boxplot}})
Lines will be automatically sized to reflect their distance from the median.

Aesthetic mappings that this grob function understands:

\Itemize{
\item \code{x}:x position (required)
\item \code{y}:y position (required)
\item \code{weight}: observation weights
}

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 \code{quantiles}:quantiles to display
\item \code{formula}:formula to use in quantile regression
}
\end{Details}
\begin{Author}\relax
Hadley Wickham <h.wickham@gmail.com>
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{rq}{rq}} for the code used to fit the quantile regression
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}## Not run: 
m <- ggplot(movies, aesthetics=list(y=length, x=rating))
ggquantile(m)
## End(Not run)\end{ExampleCode}
\end{Examples}

