1% Generated by roxygen2: do not edit by hand 2% Please edit documentation in R/geom-count.r, R/stat-sum.r 3\name{geom_count} 4\alias{geom_count} 5\alias{stat_sum} 6\title{Count overlapping points} 7\usage{ 8geom_count( 9 mapping = NULL, 10 data = NULL, 11 stat = "sum", 12 position = "identity", 13 ..., 14 na.rm = FALSE, 15 show.legend = NA, 16 inherit.aes = TRUE 17) 18 19stat_sum( 20 mapping = NULL, 21 data = NULL, 22 geom = "point", 23 position = "identity", 24 ..., 25 na.rm = FALSE, 26 show.legend = NA, 27 inherit.aes = TRUE 28) 29} 30\arguments{ 31\item{mapping}{Set of aesthetic mappings created by \code{\link[=aes]{aes()}} or 32\code{\link[=aes_]{aes_()}}. If specified and \code{inherit.aes = TRUE} (the 33default), it is combined with the default mapping at the top level of the 34plot. You must supply \code{mapping} if there is no plot mapping.} 35 36\item{data}{The data to be displayed in this layer. There are three 37options: 38 39If \code{NULL}, the default, the data is inherited from the plot 40data as specified in the call to \code{\link[=ggplot]{ggplot()}}. 41 42A \code{data.frame}, or other object, will override the plot 43data. All objects will be fortified to produce a data frame. See 44\code{\link[=fortify]{fortify()}} for which variables will be created. 45 46A \code{function} will be called with a single argument, 47the plot data. The return value must be a \code{data.frame}, and 48will be used as the layer data. A \code{function} can be created 49from a \code{formula} (e.g. \code{~ head(.x, 10)}).} 50 51\item{position}{Position adjustment, either as a string, or the result of 52a call to a position adjustment function.} 53 54\item{...}{Other arguments passed on to \code{\link[=layer]{layer()}}. These are 55often aesthetics, used to set an aesthetic to a fixed value, like 56\code{colour = "red"} or \code{size = 3}. They may also be parameters 57to the paired geom/stat.} 58 59\item{na.rm}{If \code{FALSE}, the default, missing values are removed with 60a warning. If \code{TRUE}, missing values are silently removed.} 61 62\item{show.legend}{logical. Should this layer be included in the legends? 63\code{NA}, the default, includes if any aesthetics are mapped. 64\code{FALSE} never includes, and \code{TRUE} always includes. 65It can also be a named logical vector to finely select the aesthetics to 66display.} 67 68\item{inherit.aes}{If \code{FALSE}, overrides the default aesthetics, 69rather than combining with them. This is most useful for helper functions 70that define both data and aesthetics and shouldn't inherit behaviour from 71the default plot specification, e.g. \code{\link[=borders]{borders()}}.} 72 73\item{geom, stat}{Use to override the default connection between 74\code{geom_count()} and \code{stat_sum()}.} 75} 76\description{ 77This is a variant \code{\link[=geom_point]{geom_point()}} that counts the number of 78observations at each location, then maps the count to point area. It 79useful when you have discrete data and overplotting. 80} 81\section{Aesthetics}{ 82 83\code{geom_point()} understands the following aesthetics (required aesthetics are in bold): 84\itemize{ 85\item \strong{\code{x}} 86\item \strong{\code{y}} 87\item \code{alpha} 88\item \code{colour} 89\item \code{fill} 90\item \code{group} 91\item \code{shape} 92\item \code{size} 93\item \code{stroke} 94} 95Learn more about setting these aesthetics in \code{vignette("ggplot2-specs")}. 96} 97 98\section{Computed variables}{ 99 100\describe{ 101\item{n}{number of observations at position} 102\item{prop}{percent of points in that panel at that position} 103} 104} 105 106\examples{ 107ggplot(mpg, aes(cty, hwy)) + 108 geom_point() 109 110ggplot(mpg, aes(cty, hwy)) + 111 geom_count() 112 113# Best used in conjunction with scale_size_area which ensures that 114# counts of zero would be given size 0. Doesn't make much different 115# here because the smallest count is already close to 0. 116ggplot(mpg, aes(cty, hwy)) + 117 geom_count() + 118 scale_size_area() 119 120# Display proportions instead of counts ------------------------------------- 121# By default, all categorical variables in the plot form the groups. 122# Specifying geom_count without a group identifier leads to a plot which is 123# not useful: 124d <- ggplot(diamonds, aes(x = cut, y = clarity)) 125d + geom_count(aes(size = after_stat(prop))) 126# To correct this problem and achieve a more desirable plot, we need 127# to specify which group the proportion is to be calculated over. 128d + geom_count(aes(size = after_stat(prop), group = 1)) + 129 scale_size_area(max_size = 10) 130 131# Or group by x/y variables to have rows/columns sum to 1. 132d + geom_count(aes(size = after_stat(prop), group = cut)) + 133 scale_size_area(max_size = 10) 134d + geom_count(aes(size = after_stat(prop), group = clarity)) + 135 scale_size_area(max_size = 10) 136} 137\seealso{ 138For continuous \code{x} and \code{y}, use \code{\link[=geom_bin2d]{geom_bin2d()}}. 139} 140