View source: R/geoms-gradient.R
geom_ridgeline_gradient | R Documentation |
The geoms geom_ridgeline_gradient
and geom_density_ridges_gradient
work just like geom_ridgeline
and geom_density_ridges
except
that the fill
aesthetic can vary along the x axis. Because filling with color gradients is fraught with issues,
these geoms should be considered experimental. Don't use them unless you really need to. Note that due to limitations
in R's graphics system, transparency (alpha
) has to be disabled for gradient fills.
geom_ridgeline_gradient(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
na.rm = FALSE,
gradient_lwd = 0.5,
show.legend = NA,
inherit.aes = TRUE,
...
)
geom_density_ridges_gradient(
mapping = NULL,
data = NULL,
stat = "density_ridges",
position = "points_sina",
panel_scaling = TRUE,
na.rm = TRUE,
gradient_lwd = 0.5,
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 |
gradient_lwd |
A parameter to needed to remove rendering artifacts inside the rendered gradients. Should ideally be 0, but often needs to be around 0.5 or higher. |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
... |
other arguments passed on to |
panel_scaling |
Argument only to |
library(ggplot2)
# Example for `geom_ridgeline_gradient()`
d <- data.frame(
x = rep(1:5, 3) + c(rep(0, 5), rep(0.3, 5), rep(0.6, 5)),
y = c(rep(0, 5), rep(1, 5), rep(3, 5)),
height = c(0, 1, 3, 4, 0, 1, 2, 3, 5, 4, 0, 5, 4, 4, 1)
)
ggplot(d, aes(x, y, height = height, group = y, fill = factor(x+y))) +
geom_ridgeline_gradient() +
scale_fill_viridis_d(direction = -1) +
theme(legend.position = 'none')
# Example for `geom_density_ridges_gradient()`
ggplot(lincoln_weather, aes(x = `Mean Temperature [F]`, y = `Month`, fill = stat(x))) +
geom_density_ridges_gradient(scale = 3, rel_min_height = 0.01) +
scale_x_continuous(expand = c(0, 0)) +
scale_y_discrete(expand = c(0, 0)) +
scale_fill_viridis_c(name = "Temp. [F]", option = "C") +
coord_cartesian(clip = "off") +
labs(title = 'Temperatures in Lincoln NE in 2016') +
theme_ridges(font_size = 13, grid = TRUE) +
theme(axis.title.y = element_blank())
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.