geom_vridgeline | R Documentation |
Plots the sum of the x
and width
aesthetics versus y
, filling the area between x
and x + width
with a color.
Just like geom_ridgeline()
, but with y and x replaced.
geom_vridgeline(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
...
)
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data for this layer, as a string. |
position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
... |
other arguments passed on to |
Required aesthetics are in bold.
x
y
width
Width of the ridgeline, measured from the respective x
value. Assumed to be positive, though this is not required.
group
Defines the grouping. Required when the dataset contains multiple distinct ridgelines. Will typically be the same
variable as is mapped to x
.
scale
A scaling factor to scale the widths of the ridgelines.
A value of 1 indicates that the widths are taken as is. This aesthetic can be used to convert
width
units into x
units.
min_width
A width cutoff on the drawn ridgelines. All values that fall below this cutoff will be removed.
The main purpose of this cutoff is to remove long tails right at the baseline level, but other uses are possible.
The cutoff is applied before any width
scaling is applied via the scale
aesthetic. Default is 0, so negative values are removed.
color
Color of the ridgeline
fill
Fill color of the area under the ridgeline
alpha
Transparency level of fill
. Not applied to color
. If you want transparent lines, you can set their
color as RGBA value, e.g. #FF0000A0 for partially transparent red.
group
Grouping, to draw multiple ridgelines from one dataset
linetype
Linetype of the ridgeline
linewidth
Line thickness
library(ggplot2)
d <- data.frame(y = rep(1:5, 3), x = c(rep(0, 5), rep(1, 5), rep(3, 5)),
width = c(0, 1, 3, 4, 0, 1, 2, 3, 5, 4, 0, 5, 4, 4, 1))
ggplot(d, aes(x, y, width = width, group = x)) + geom_vridgeline(fill="lightblue")
ggplot(iris, aes(x=Species, y=Sepal.Width, width = after_stat(density), fill=Species)) +
geom_vridgeline(stat="ydensity", trim=FALSE, alpha = 0.85, scale = 2)
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