geom_x_margin_point {ggpp} | R Documentation |
Reference points on the margins
Description
Margin points can supplement a 2d display with annotations. Margin points
can highlight individual values along a margin. The geometries
geom_x_margin_point()
and geom_y_margin_point()
behave
similarly geom_vline()
and geom_hline()
and share their "double
personality" as both annotations and geometries.
Usage
geom_x_margin_point(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
xintercept,
sides = "b",
point.shift = 0.017,
na.rm = FALSE,
show.legend = FALSE,
inherit.aes = FALSE
)
geom_y_margin_point(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
yintercept,
sides = "l",
point.shift = 0.017,
na.rm = FALSE,
show.legend = FALSE,
inherit.aes = FALSE
)
Arguments
mapping |
The aesthetic mapping, usually constructed with
|
data |
A layer specific dataset - only needed if you want to override the plot defaults. |
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. |
... |
other arguments passed on to |
xintercept , yintercept |
numeric Parameters that control the position of the marginal points. If these are set, data, mapping and show.legend are overridden. |
sides |
A string that controls which sides of the plot the rugs appear
on. It can be set to a string containing any combination of |
point.shift |
numeric value expressed in npc units for the shift of the rug points inwards from the edge of the plotting area. |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
Value
A plot layer instance.
See Also
Other Geometries for marginal annotations in ggplots:
geom_x_margin_arrow()
,
geom_x_margin_grob()
Examples
p <- ggplot(mtcars, aes(wt, mpg)) +
geom_point()
p
p + geom_x_margin_point(xintercept = 3.5)
p + geom_y_margin_point(yintercept = c(18, 28, 15))
p + geom_x_margin_point(data = data.frame(x = c(2.5, 4.5)),
mapping = aes(xintercept = x))
p + geom_x_margin_point(data = data.frame(x = c(2.5, 4.5)),
mapping = aes(xintercept = x),
sides = "tb")