geom_quasirandom {ggbeeswarm}

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,
  stat = "identity",
  ...,
  method = "quasirandom",
  width = NULL,
  varwidth = FALSE,
  bandwidth = 0.5,
  nbins = NULL,
  dodge.width = NULL,
  groupOnX = NULL,
  orientation = NULL,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE
)

Arguments

mapping

Set of aesthetic mappings created by aes(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.

data

The data to be displayed in this layer. There are three options:

If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot().

A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify() for which variables will be created.

A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data. A function can be created from a formula (e.g. ~ head(.x, 10)).

stat

The statistical transformation to use on the data for this layer, either as a ggproto Geom subclass or as a string naming the stat stripped of the stat_ prefix (e.g. "count" rather than "stat_count")

...

Other arguments passed on to layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like colour = "red" or size = 3. They may also be parameters to the paired geom/stat.

method

the method used for distributing points (quasirandom, pseudorandom, smiley, maxout, frowney, minout, tukey, tukeyDense). See vipor::offsetSingleGroup() for the details of each method.

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)

dodge.width

Amount by which points from different aesthetic groups will be dodged. This requires that one of the aesthetics is a factor. To disable dodging between groups, set this to NULL.

groupOnX

See orientation.

orientation

The orientation (i.e., which axis to group on) is inferred from the data. This can be overridden by setting orientation to either "x" or "y".

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

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. It can also be a named logical vector to finely select the aesthetics to display.

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().

Aesthetics

@section Aesthetics: geom_point()understands the following aesthetics (required aesthetics are in bold):

• x

• y

• alpha

• colour

• fill

• group

• shape

• size

• stroke

Learn more about setting these aesthetics in vignette("ggplot2-specs").

See Also

vipor::offsetSingleGroup() how spacing is determined, ggplot2::geom_point() for regular, unjittered points, ggplot2::geom_jitter() for jittered points, geom_boxplot() for another way of looking at the conditional distribution of a variable

Examples

  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::ggplot(distro,aes(variable, value)) + geom_quasirandom(width=0.1)