The geom_diagonal_wide() function draws a thick diagonal, that is, a polygon confined between a lower and upper diagonal. As with the diagonal functions in ggforce, the wide diagonal variant is horizontal.

stat_diagonal_wide(mapping = NULL, data = NULL, geom = "shape",
position = "identity", n = 100, strength = 0.5, na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE, ...)

geom_diagonal_wide(mapping = NULL, data = NULL,
stat = "diagonal_wide", position = "identity", n = 100,
na.rm = FALSE, strength = 0.5, 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. 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)). The geometric object to use display the data Position adjustment, either as a string, or the result of a call to a position adjustment function. The number of points to create for each of the bounding diagonals The proportion to move the control point along the x-axis towards the other end of the bezier curve If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed. 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(). 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. The statistical transformation to use on the data for this layer, as a string.

## Aesthetics

geom_diagonal_wide understand the following aesthetics (required aesthetics are in bold):

• x

• y

• group

• color

• size

• linetype

• alpha

• lineend

## Examples

data <- data.frame(
x = c(1, 2, 2, 1, 2, 3, 3, 2),
y = c(1, 2, 3, 2, 3, 1, 2, 5),
group = c(1, 1, 1, 1, 2, 2, 2, 2)
)

ggplot(data) +
geom_diagonal_wide(aes(x, y, group = group))
# The strength control the steepness
ggplot(data, aes(x, y, group = group)) +
geom_diagonal_wide(strength = 0.75, alpha = 0.5, fill = 'red') +
geom_diagonal_wide(strength = 0.25, alpha = 0.5, fill = 'blue')
# The diagonal_wide geom uses geom_shape under the hood, so corner rounding
# etc are all there
ggplot(data) +
geom_diagonal_wide(aes(x, y, group = group), radius = unit(5, 'mm'))