geom_dag_node
and geom_dag_point
are very similar to
ggplot2::geom_point but with a few defaults changed. geom_dag_node
is
slightly stylized and includes an internal white circle, while
geom_dag_point
plots a single point.
geom_dag_node(
mapping = NULL,
data = NULL,
position = "identity",
...,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)geom_dag_point(
mapping = NULL,
data = NULL,
position = "identity",
...,
na.rm = FALSE,
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)
).
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.
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.
If FALSE
, the default, missing values are removed with
a warning. If TRUE
, missing values are silently removed.
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()
.
geom_dag_node
and geom_dag_point
understand the
following aesthetics (required aesthetics are in bold):
x
y
alpha
colour
fill
shape
size
stroke
filter
geom_dag_node
also accepts:
internal_colour
library(ggplot2)
g <- dagify(m ~ x + y, y ~ x)
p <- g %>%
tidy_dagitty() %>%
ggplot(aes(x = x, y = y, xend = xend, yend = yend)) +
geom_dag_edges() +
theme_dag()
p +
geom_dag_node() +
geom_dag_text()
p +
geom_dag_point() +
geom_dag_text()
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