Create a half-violin plot.
geom_violinhalf( mapping = NULL, data = NULL, stat = "ydensity", position = "dodge", trim = TRUE, flip = FALSE, scale = c("area", "count", "width"), 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 options:
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
fortify()for 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. A
functioncan be created from a
~ head(.x, 10)).
The statistical transformation to use on the data for this layer, as a string.
Position adjustment, either as a string, or the result of a call to a position adjustment function.
TRUE(default), trim the tails of the violins to the range of the data. If
FALSE, don't trim the tails.
Should the half-violin plot switch directions? By default, this is
FALSEand all half-violin geoms will have the flat-side on facing leftward. If
flip = TRUE, then all flat-sides will face rightward. Optionally, a numeric vector can be supplied indicating which specific geoms should be flipped. See examples for more details.
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.
FALSEnever includes, and
TRUEalways includes. It can also be a named logical vector to finely select the aesthetics to display.
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
colour = "red"or
size = 3. They may also be parameters to the paired geom/stat.
library(ggplot2) library(see) ggplot(iris, aes(x = Species, y = Sepal.Length, fill = Species)) + geom_violinhalf() + theme_modern() + scale_fill_material_d() # To flip all half-violin geoms, use `flip = TRUE`: ggplot(iris, aes(x = Species, y = Sepal.Length, fill = Species)) + geom_violinhalf(flip = TRUE) + theme_modern() + scale_fill_material_d() # To flip the half-violin geoms for the first and third groups only # by passing a numeric vector ggplot(iris, aes(x = Species, y = Sepal.Length, fill = Species)) + geom_violinhalf(flip = c(1, 3)) + theme_modern() + scale_fill_material_d()