This geom is equivalent in functionality to ggplot2::geom_point()
and allows for simple plotting of nodes in different shapes, colours and sizes.
geom_node_point(
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 x and y 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.
x
y
alpha
colour
fill
shape
size
stroke
filter
Thomas Lin Pedersen
Other geom_node_*:
geom_node_arc_bar(),
geom_node_circle(),
geom_node_range(),
geom_node_sf(),
geom_node_text(),
geom_node_tile(),
geom_node_voronoi()
require(tidygraph)
gr <- create_notable('bull') %>%
mutate(class = sample(letters[1:3], n(), replace = TRUE))
ggraph(gr, 'stress') + geom_node_point()
Run the code above in your browser using DataLab