stat_sum {ggplot2}R Documentation

stat\_sum

Description

Sum unique values. Useful for overplotting on scatterplots

Usage

stat_sum(mapping = NULL, data = NULL, geom = "point", position = "identity", 
    ...)

Arguments

mapping

mapping between variables and aesthetics generated by aes

data

dataset used in this layer, if not specified uses plot dataset

geom

geometric used by this layer

position

position adjustment used by this layer

...

ignored

Details

This page describes stat\_sum, see layer and qplot for how to create a complete plot from individual components.

Value

A layer

Aesthetics

The following aesthetics can be used with stat\_sum. Aesthetics are mapped to variables in the data with the aes function: stat\_sum(aes(x = var))

Author(s)

Hadley Wickham, http://had.co.nz/

See Also

Examples

## Not run: 
d <- ggplot(diamonds, aes(x = cut, y = clarity))
# Need to control which group proportion calculated over
# Overall proportion
d + stat_sum(aes(group = 1))
d + stat_sum(aes(group = 1)) + scale_size(to = c(3, 10))
d + stat_sum(aes(group = 1)) + scale_area(to = c(3, 10))
# by cut
d + stat_sum(aes(group = cut))
d + stat_sum(aes(group = cut, colour = cut))
# by clarity
d + stat_sum(aes(group = clarity))
d + stat_sum(aes(group = clarity, colour = cut))

# Instead of proportions, can also use sums
d + stat_sum(aes(size = ..n..))

# Can also weight by another variable
d + stat_sum(aes(group = 1, weight = price))
d + stat_sum(aes(group = 1, weight = price, size = ..n..))

# Or using qplot
qplot(cut, clarity, data = diamonds)
qplot(cut, clarity, data = diamonds, stat = "sum", group = 1)    

## End(Not run)

[Package ggplot2 version 0.8.9 Index]