Center disks at points in a scatterplot.
geom_disk(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
na.rm = FALSE,
radius = NULL,
diameter = NULL,
segments = 60L,
show.legend = NA,
inherit.aes = TRUE,
...
)
Set of aesthetic mappings created by aes()
. If specified and
inherit.aes = TRUE
(the default), it is combined with the default mapping
at the top level of the plot. You must supply mapping
if there is no plot
mapping.
The data to be displayed in this layer. There are three options:
If NULL
, the default, the data is inherited from the plot
data as specified in the call to ggplot()
.
A data.frame
, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
fortify()
for which variables will be created.
A function
will be called with a single argument,
the plot data. The return value must be a data.frame
, and
will be used as the layer data. A function
can be created
from a formula
(e.g. ~ head(.x, 10)
).
The statistical transformation to use on the data for this
layer, either as a ggproto
Geom
subclass or as a string naming the
stat stripped of the stat_
prefix (e.g. "count"
rather than
"stat_count"
)
Position adjustment, either as a string naming the adjustment
(e.g. "jitter"
to use position_jitter
), or the result of a call to a
position adjustment function. Use the latter if you need to change the
settings of the adjustment.
Logical; ignored.
The (positive) radius or diameter used in the construction. Provide only one of these; if neither is provided, they default to zero.
The number of segments in the regular polygon that approximates each disk
logical. Should this layer be included in the legends?
NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.
It can also be a named logical vector to finely select the aesthetics to
display.
If FALSE
, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. borders()
.
Additional arguments passed to ggplot2::layer()
.
A ball of radius \(r\) around a point \(x\) in Euclidean space consists of all points whose distances from \(x\) are less than \(r\). A ball in 2 dimensions is called a disk.
The geometric objects of GeomDisk
can be used to illustrate disk covers of
point clouds, in particular in the construction of simplicial filtrations. It
could be paired with a statistical transformation of Stat*
that samples
points from a cloud.
The convenience function geom_disk()
produces a layer with the identity
statistical transformation.
geom_disk()
understands the following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
fill
group
linetype
linewidth
Learn more about setting these aesthetics in vignette("ggplot2-specs", package = "ggplot2")
.
ggplot2::layer()
for additional arguments.
Other plot layers for point clouds:
simplicial_complex
# function to generate noisy 2D circles
make_noisy_circle <- function(n, sd = .01) {
theta <- stats::runif(n = n, min = 0, max = 2*pi)
cbind(x = cos(theta) + stats::rnorm(n, 0, sd),
y = sin(theta) + stats::rnorm(n, 0, sd))
}
# generate a noisy 2D circle
set.seed(1)
d <- as.data.frame(make_noisy_circle(n = 36L, sd = .15))
r <- 1/6
# plot disks beneath points
ggplot(d, aes(x = x, y = y)) +
theme_bw() +
coord_fixed() +
geom_disk(radius = r, fill = "aquamarine3") +
geom_point()
# use `diameter` parameter
ggplot(d, aes(x = x, y = y)) +
theme_bw() +
coord_fixed() +
geom_disk(diameter = 2*r, fill = "aquamarine3") +
geom_point()
# generate a noisy 2D circle
set.seed(2)
theta <- stats::runif(n = 40L, min = 0, max = 2*pi)
d <- data.frame(x = cos(theta) + stats::rnorm(40L, 0, .15),
y = sin(theta) + stats::rnorm(40L, 0, .15))
r <- 1/3
# overlay ball cover and Vietoris-Rips complex with points
ggplot(d, aes(x = x, y = y)) +
theme_bw() +
coord_fixed() +
geom_disk(radius = r, fill = "aquamarine3") +
geom_simplicial_complex(
radius = r, fill = "darkgoldenrod",
complex = "Vietoris", engine = "base"
) +
geom_point()
# use the Čech complex instead
ggplot(d, aes(x = x, y = y)) +
theme_bw() +
coord_fixed() +
geom_disk(radius = r, fill = "aquamarine3") +
geom_simplicial_complex(
radius = r, fill = "darkgoldenrod",
complex = "Cech", engine = "base"
) +
geom_point()