This geom draws edges as tiles with their x-position defined by the
x-position of the start node, and the y-position defined by the y-position of
the end node. As such it will result in a matrix layout when used in
conjunction with layout_tbl_graph_matrix()
geom_edge_tile(
mapping = NULL,
data = get_edges(),
position = "identity",
mirror = FALSE,
show.legend = NA,
...
)
Set of aesthetic mappings created by ggplot2::aes()
or ggplot2::aes_()
. By default x, y, xend, yend, group and
circular are mapped to x, y, xend, yend, edge.id and circular in the edge
data.
The return of a call to get_edges()
or a data.frame
giving edges in correct format (see details for for guidance on the format).
See get_edges()
for more details on edge extraction.
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 position
argument accepts the following:
The result of calling a position function, such as position_jitter()
.
This method allows for passing extra arguments to the position.
A string naming the position adjustment. To give the position as a
string, strip the function name of the position_
prefix. For example,
to use position_jitter()
, give the position as "jitter"
.
For more information and other ways to specify the position, see the layer position documentation.
Logical. Should edge points be duplicated on both sides of the
diagonal. Intended for undirected graphs. Default to FALSE
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. To include legend keys for all levels, even
when no data exists, use TRUE
. If NA
, all levels are shown in legend,
but unobserved levels are omitted.
Other arguments passed on to layer()
's params
argument. These
arguments broadly fall into one of 4 categories below. Notably, further
arguments to the position
argument, or aesthetics that are required
can not be passed through ...
. Unknown arguments that are not part
of the 4 categories below are ignored.
Static aesthetics that are not mapped to a scale, but are at a fixed
value and apply to the layer as a whole. For example, colour = "red"
or linewidth = 3
. The geom's documentation has an Aesthetics
section that lists the available options. The 'required' aesthetics
cannot be passed on to the params
. Please note that while passing
unmapped aesthetics as vectors is technically possible, the order and
required length is not guaranteed to be parallel to the input data.
When constructing a layer using
a stat_*()
function, the ...
argument can be used to pass on
parameters to the geom
part of the layer. An example of this is
stat_density(geom = "area", outline.type = "both")
. The geom's
documentation lists which parameters it can accept.
Inversely, when constructing a layer using a
geom_*()
function, the ...
argument can be used to pass on parameters
to the stat
part of the layer. An example of this is
geom_area(stat = "density", adjust = 0.5)
. The stat's documentation
lists which parameters it can accept.
The key_glyph
argument of layer()
may also be passed on through
...
. This can be one of the functions described as
key glyphs, to change the display of the layer in the legend.
geom_edge_tile
understands the following
aesthetics. Bold aesthetics are automatically set, but can be overwritten.
x
y
edge_fill
edge_colour
edge_size
edge_alpha
filter
In order to avoid excessive typing edge aesthetic names are
automatically expanded. Because of this it is not necessary to write
edge_colour
within the aes()
call as colour
will
automatically be renamed appropriately.
Other geom_edge_*:
geom_edge_arc()
,
geom_edge_bend()
,
geom_edge_bundle_force()
,
geom_edge_bundle_minimal()
,
geom_edge_bundle_path()
,
geom_edge_density()
,
geom_edge_diagonal()
,
geom_edge_elbow()
,
geom_edge_fan()
,
geom_edge_hive()
,
geom_edge_link()
,
geom_edge_loop()
,
geom_edge_parallel()
,
geom_edge_point()
,
geom_edge_sf()
,
geom_edge_span()
require(tidygraph)
gr <- create_notable('zachary') %>%
mutate(group = group_infomap()) %>%
morph(to_split, group) %>%
activate(edges) %>%
mutate(edge_group = as.character(.N()$group[1])) %>%
unmorph()
#> Splitting by nodes
ggraph(gr, 'matrix', sort.by = node_rank_hclust()) +
geom_edge_tile(aes(fill = edge_group), mirror = TRUE) +
scale_y_reverse() +
coord_fixed() +
labs(edge_colour = 'Infomap Cluster') +
ggtitle("Zachary' Karate Club")