geom_lineranges {gggda} | R Documentation |
Intervals depicting ranges, usually about center points
Description
geom_lineranges()
renders horizontal and vertical intervals
for a specified subject or variable; geom_pointranges()
additionally
renders a point at their crosshairs.
Usage
geom_lineranges(
mapping = NULL,
data = NULL,
stat = "center",
position = "identity",
...,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
geom_pointranges(
mapping = NULL,
data = NULL,
stat = "center",
position = "identity",
...,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
Arguments
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.
When using a
|
position |
A position adjustment to use on the data for this layer. This
can be used in various ways, including to prevent overplotting and
improving the display. The
|
... |
Additional arguments passed to |
na.rm |
Passed to |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
Details
The geom_*ranges()
layers are shortcuts for equivalently-specified
pairs of horizontal and vertical
ggplot2::geom_*range()
layers. Rather than
ggplot2::stat_identity()
, they default to stat_center()
, so that in
practice the summary values do not need to be manually passed.
Value
Aesthetics
geom_lineranges()
and geom_pointranges()
understand the following
aesthetics (required aesthetics are in bold):
-
x
-
xmin
-
xmax
-
y
-
ymin
-
ymax
' -
alpha
-
colour
-
linewidth
-
linetype
-
size
-
group
See Also
Other geom layers:
geom_axis()
,
geom_bagplot()
,
geom_isoline()
,
geom_rule()
,
geom_text_radiate()
,
geom_vector()
Examples
ggplot(mpg, aes(x = displ, y = hwy, color = drv)) +
geom_point(alpha = .25) +
geom_lineranges()
if (require(Hmisc)) {
ggplot(mpg, aes(x = displ, y = hwy, color = drv)) +
geom_point(alpha = .25) +
geom_pointranges(fun.data = mean_sdl, shape = "circle open")
}
mpg %>%
aggregate(
x = cbind(displ, hwy) ~ 0,
FUN = function(z) c(min = min(z), med = median(z), max = max(z))
) %>%
do.call(what = data.frame) %>%
ggplot(aes(displ.med, hwy.med)) +
geom_pointranges(
stat = "identity",
aes(xmin = displ.min, xmax = displ.max, ymin = hwy.min, ymax = hwy.max)
) +
geom_point(data = mpg, aes(displ, hwy), alpha = .5)