stat_summary_hex.Rd

% Generated by roxygen2 (4.0.0): do not edit by hand
\name{stat_summary_hex}
\alias{stat_summary_hex}
\title{Apply funciton for 2D hexagonal bins.}
\usage{
stat_summary_hex(mapping = NULL, data = NULL, geom = "hex",
  position = "identity", bins = 30, drop = TRUE, fun = mean, ...)
}
\arguments{
\item{bins}{see \code{\link{stat_binhex}}}

\item{drop}{drop if the output of \code{fun} is \code{NA}.}

\item{fun}{function for summary.}

\item{...}{parameters passed to \code{fun}}

\item{mapping}{The aesthetic mapping, usually constructed with
\code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set
at the layer level if you are overriding the plot defaults.}

\item{data}{A layer specific dataset - only needed if you want to override
the plot defaults.}

\item{geom}{The geometric object to use display the data}

\item{position}{The position adjustment to use for overlappling points
on this layer}
}
\description{
Apply function for 2D hexagonal bins.
}
\section{Aesthetics}{

\Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "summaryhex")}

\code{stat_summary2d} is hexagonal version of \code{\link{stat_summary}}. The data are devided by \code{x} and \code{y}.
\code{z} in each cell is passed to arbitral summary function.

\code{stat_summary-hex} requires the following aesthetics:

\itemize{
 \item \code{x}: horizontal position
 \item \code{y}: vertical position
 \item \code{z}: value passed to the summary function
}
}
\examples{
d <- ggplot(diamonds, aes(carat, depth, z = price))
d + stat_summary_hex()

# Specifying function
d + stat_summary_hex(fun = function(x) sum(x^2))
d + stat_summary_hex(fun = var, na.rm = TRUE)
}
\seealso{
\code{\link{stat_summary2d}} for rectangular summarization. \code{\link{stat_bin2d}} for the hexagon-ing options.
}