# geom_beeswarm

0th

Percentile

##### Points, jittered to reduce overplotting using the beeswarm package

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

##### Usage
geom_beeswarm(mapping = NULL, data = NULL, priority = c("ascending", "descending", "density", "random", "none"), cex = 1, groupOnX = NULL, dodge.width = 0, stat = "identity", 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), 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.

priority
Method used to perform point layout (see swarmx)
cex
Scaling for adjusting point spacing (see swarmx)
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.
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. These are often aesthetics, used to set an aesthetic to a fixed value, like color = "red" or size = 3. They may also be parameters to the paired geom/stat.
##### Aesthetics

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

• x
• y
• alpha
• colour
• fill
• shape
• size
• stroke

geom_quasirandom an alternative method, swarmx 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

##### Aliases
• geom_beeswarm
##### Examples

ggplot2::qplot(class, hwy, data = ggplot2::mpg, geom='beeswarm')
# 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='beeswarm')
ggplot2::qplot(variable, value, data = distro) +
geom_beeswarm(priority='density',cex=2.5)

Documentation reproduced from package ggbeeswarm, version 0.5.3, License: GPL (>= 2)

### Community examples

Looks like there are no examples yet.