View source: R/geom_rect_theme.R
geom_rect_theme | R Documentation |
These geoms closely follow geom_rect()
and geom_tile()
but take
defaults from the theme and are drawn through theme elements. They use the
elementalist.geom_rect
theme element.
geom_rect_theme(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
linejoin = "mitre",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
element = NULL
)
geom_tile_theme(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
linejoin = "mitre",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE,
element = NULL
)
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
|
... |
Other arguments passed on to
|
linejoin |
Line join style (round, mitre, bevel). |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
element |
An |
A LayerInstance
object that can be added to a plot.
geom_tile_theme()
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
fill
group
height
linetype
linewidth
width
Learn more about setting these aesthetics in vignette("ggplot2-specs")
.
df <- data.frame(
x = rep(c(2, 5, 7, 9, 12), 2),
y = rep(c(1, 2), each = 5),
z = factor(rep(1:5, each = 2)),
w = rep(diff(c(0, 4, 6, 8, 10, 14)), 2)
)
ggplot(df, aes(xmin = x - w / 2, xmax = x + w / 2, ymin = y, ymax = y + 1)) +
geom_rect_theme(aes(fill = z)) +
theme(elementalist.geom_rect = element_rect_wiggle())
ggplot(df, aes(x, y, width = w)) +
geom_tile_theme(aes(fill = z)) +
theme(elementalist.geom_rect = element_rect_multicolour())
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