ggdag: node_point – R documentation

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node_point

DAG Nodes

Description

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.

Usage

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
)

Arguments

`mapping`	Set of aesthetic mappings created by `aes()` or `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.
`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`	Position adjustment, either as a string, or the result of a call to a position adjustment function.
`...`	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.
`na.rm`	If `FALSE`, the default, missing values are removed with a warning. If `TRUE`, missing values are silently removed.
`show.legend`	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.
`inherit.aes`	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()`.

Aesthetics

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

Examples

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()

ggdag

Analyze and Create Elegant Directed Acyclic Graphs

v0.2.3

MIT + file LICENSE

Authors

Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>)

Initial release