Create a half-violin half-dot plot, useful for visualising the distribution and the sample size at the same time.
geom_violindot(
mapping = NULL,
data = NULL,
trim = TRUE,
scale = c("area", "count", "width"),
show.legend = NA,
inherit.aes = TRUE,
dots_size = 0.7,
dots_color = NULL,
dots_fill = NULL,
binwidth = 0.05,
position_dots = ggplot2::position_nudge(x = -0.025, y = 0),
...,
size_dots = dots_size,
color_dots = dots_color,
fill_dots = dots_fill
)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.
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)).
If TRUE (default), trim the tails of the violins
to the range of the data. If FALSE, don't trim the tails.
if "area" (default), all violins have the same area (before trimming the tails). If "count", areas are scaled proportionally to the number of observations. If "width", all violins have the same maximum width.
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.
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().
When method is "dotdensity", this specifies maximum bin
width. When method is "histodot", this specifies bin width.
Defaults to 1/30 of the range of the data
Position adjustment for dots, either as a string, or the result of a call to a position adjustment function.
Other arguments passed on to layer()'s params argument. These
arguments broadly fall into one of 4 categories below. Notably, further
arguments to the position argument, or aesthetics that are required
can not be passed through .... Unknown arguments that are not part
of the 4 categories below are ignored.
Static aesthetics that are not mapped to a scale, but are at a fixed
value and apply to the layer as a whole. For example, colour = "red"
or linewidth = 3. The geom's documentation has an Aesthetics
section that lists the available options. The 'required' aesthetics
cannot be passed on to the params. Please note that while passing
unmapped aesthetics as vectors is technically possible, the order and
required length is not guaranteed to be parallel to the input data.
When constructing a layer using
a stat_*() function, the ... argument can be used to pass on
parameters to the geom part of the layer. An example of this is
stat_density(geom = "area", outline.type = "both"). The geom's
documentation lists which parameters it can accept.
Inversely, when constructing a layer using a
geom_*() function, the ... argument can be used to pass on parameters
to the stat part of the layer. An example of this is
geom_area(stat = "density", adjust = 0.5). The stat's documentation
lists which parameters it can accept.
The key_glyph argument of layer() may also be passed on through
.... This can be one of the functions described as
key glyphs, to change the display of the layer in the legend.
Size adjustment for dots.
Color adjustment for dots.
Fill adjustment for dots.
library(ggplot2)
library(see)
ggplot(iris, aes(x = Species, y = Sepal.Length, fill = Species)) +
geom_violindot() +
theme_modern()
Run the code above in your browser using DataLab