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
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, ...)
- 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
mappingif there is no plot mapping.
- The data to be displayed in this layer. There are three
NULL, the default, the data is inherited from the plot data as specified in the call to
data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See
fortifyfor which variables will be created.
functionwill 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.
- Method used to perform point layout (see
- Scaling for adjusting point spacing (see
- 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)
- Amount by which points from different aesthetic groups will be dodged. This requires that one of the aesthetics is a factor.
- The statistical transformation to use on the data for this layer, as a string.
FALSE(the default), removes missing values with a warning. If
TRUEsilently removes missing values.
- logical. Should this layer be included in the legends?
NA, the default, includes if any aesthetics are mapped.
FALSEnever includes, and
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.
- 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.
geom_point understands the following aesthetics (required aesthetics are in bold):
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
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)