This geom is equivalent in functionality to ggforce::geom_arc_bar()
and allows for plotting of nodes as arcs with an inner and outer radius
scaled by the coordinate system. Its main use is currently in sunburst plots
as created with circular partition layouts
geom_node_arc_bar(
mapping = NULL,
data = NULL,
position = "identity",
show.legend = NA,
...
)
Set of aesthetic mappings created by ggplot2::aes()
or ggplot2::aes_()
. By default x and y are mapped to x0 and y0 in
the node data.
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)
).
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. 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.
Other arguments passed on to layer()
. These are
often aesthetics, used to set an aesthetic to a fixed value, like
colour = "red"
or size = 3
. They may also be parameters
to the paired geom/stat.
geom_node_point
understand the following aesthetics. Bold aesthetics are
automatically set, but can be overwritten.
x0
y0
r0
r
start
end
alpha
colour
fill
shape
size
stroke
filter
Thomas Lin Pedersen
Other geom_node_*:
geom_node_circle()
,
geom_node_point()
,
geom_node_range()
,
geom_node_sf()
,
geom_node_text()
,
geom_node_tile()
,
geom_node_voronoi()
require(tidygraph)
gr <- tbl_graph(flare$vertices, flare$edges)
ggraph(gr, 'partition', circular = TRUE, weight = size) +
geom_node_arc_bar()
Run the code above in your browser using DataLab