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ggbeeswarm (version 0.5.0)

geom_quasirandom: Points, jittered to reduce overplotting using the vipor package

Description

The quasirandom geom is a convenient means to offset points within categories to reduce overplotting. Uses the vipor package

Usage

geom_quasirandom(mapping = NULL, data = NULL, width = NULL, varwidth = FALSE, bandwidth = 0.5, nbins = 1000, method = "quasirandom", groupOnX = NULL, dodge.width = 0, stat = "identity", position = "quasirandom", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE, ...)

Arguments

mapping
Set of aesthetic mappings created by aes or aes_. If specified and inherit.aes = TRUE (the default), is combined with the default mapping at the top level of the plot. You only need to supply mapping if there isn't a mapping defined for the plot.
data
A data frame. If specified, overrides the default data frame defined at the top level of the plot.
width
the maximum amount of spread (default: 0.4)
varwidth
vary the width by the relative size of each group
bandwidth
the bandwidth adjustment to use when calculating density Smaller numbers (< 1) produce a tighter "fit". (default: 0.5)
nbins
the number of bins used when calculating density (has little effect with quasirandom/random distribution)
method
the method used for distributing points (quasirandom, pseudorandom, smiley or frowney)
groupOnX
should jitter be added to the x axis if TRUE or y axis if FALSE (the default NULL causes the function to guess which axis is the categorical one based on the number of unique entries in each)
dodge.width
Amount by which points from different aesthetic groups will be dodged. This requires that one of the aesthetics is a factor.
stat
The statistical transformation to use on the data for this layer, as a string.
position
Position adjustment, either as a string, or the result of a call to a position adjustment function.
na.rm
If FALSE (the default), removes missing values with a warning. If TRUE silently removes missing values.
show.legend
logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes.
inherit.aes
If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders.
...
other arguments passed on to layer. There are three types of arguments you can use here:

  • Aesthetics: to set an aesthetic to a fixed value, like color = "red" or size = 3.
  • Other arguments to the layer, for example you override the default stat associated with the layer.
  • Other arguments passed on to the stat.

Aesthetics

geom_point understands the following aesthetics (required aesthetics are in bold):
  • x
  • y
  • alpha
  • colour
  • fill
  • shape
  • size
  • stroke

See Also

offsetX how spacing is determined, geom_point for regular, unjittered points, geom_jitter for jittered points, geom_boxplot for another way of looking at the conditional distribution of a variable

Examples

Run this code
  ggplot2::qplot(class, hwy, data = ggplot2::mpg, geom='quasirandom')
  # Generate fake data
  distro <- data.frame(
    'variable'=rep(c('runif','rnorm'),each=100),
    'value'=c(runif(100, min=-3, max=3), rnorm(100))
  )
  ggplot2::qplot(variable, value, data = distro, geom = 'quasirandom')
  ggplot2::qplot(variable, value, data = distro) + geom_quasirandom(width=0.1)

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