This function lets you annotate the axes in a hive plot with labels and color coded bars.
geom_axis_hive(
mapping = NULL,
data = NULL,
position = "identity",
label = TRUE,
axis = TRUE,
show.legend = NA,
...
)
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)
).
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.
Should the axes be labelled. Defaults to TRUE
Should a rectangle be drawn along the axis. Defaults to TRUE
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_axis_hive understand the following aesthetics.
alpha
colour
fill
size
linetype
label_size
family
fontface
lineheight
# Plot the flare import graph as a hive plot
library(tidygraph)
flareGr <- as_tbl_graph(flare$imports) %>%
mutate(
type = dplyr::case_when(
centrality_degree(mode = 'in') == 0 ~ 'Source',
centrality_degree(mode = 'out') == 0 ~ 'Sink',
TRUE ~ 'Both'
)
) %>%
activate(edges) %>%
mutate(
type = dplyr::case_when(
grepl('flare.analytics', paste(.N()$name[from], .N()$name[to])) ~ 'Analytics',
TRUE ~ 'Other'
)
)
ggraph(flareGr, 'hive', axis = type) +
geom_edge_hive(aes(colour = type), edge_alpha = 0.1) +
geom_axis_hive(aes(colour = type)) +
coord_fixed()