ggjitter: Grob function: jittered points

In hadley/ggplot1: Before there was ggplot2

Description

This is useful when plotting points with a categorical axis so to avoid overplotting.

Usage

ggjitter(plot, aesthetics = list(), ..., data = NULL)

Arguments

plot	the plot object to modify
aesthetics	named list of aesthetic mappings, see details for more information
...	other options, see details for more information
data	data source, if not specified the plot default will be used

Details

Aesthetic mappings that this grob function understands:

• x:x position (required)

• y:y position (required)

• size:size of the point, in mm (see scsize)

• shape:shape of the glyph used to draw the point (see scshape)

• colour:point colour (see sccolour)

These can be specified in the plot defaults (see ggplot) or in the 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 ps, eg. pscontinuous or pscategorical

Other options:

• xjitter:degree of jitter in x direction, see jitter for details, defaults to 1 if the x variable is a factor, 0 otherwise

• yjitter:degree of jitter in y direction, see jitter for details, defaults to 1 if the y variable is a factor, 0 otherwise

Examples

p <- ggplot(reshape::tips, aes = list(x = day, y = tip))
ggjitter(p)
ggjitter(ggboxplot(p))
ggjitter(ggboxplot(p), xjitter=2)
ggjitter(ggboxplot(p), yjitter=1)

hadley/ggplot1 documentation built on Aug. 19, 2019, 2:42 p.m.