status: Find variable status

In ggdag: Analyze and Create Elegant Directed Acyclic Graphs

Find variable status

Description

Detects variable status given a DAG (exposure, outcome, latent). See dagitty::VariableStatus() for details.

Usage

node_status(.dag, as_factor = TRUE, ...)

ggdag_status(
  .tdy_dag,
  ...,
  edge_type = "link_arc",
  node_size = 16,
  text_size = 3.88,
  label_size = text_size,
  text_col = "white",
  label_col = text_col,
  node = TRUE,
  stylized = FALSE,
  text = TRUE,
  use_labels = NULL
)

Arguments

.dag, .tdy_dag	input graph, an object of class tidy_dagitty or dagitty
as_factor	treat status variable as factor
...	additional arguments passed to tidy_dagitty()
edge_type	a character vector, the edge geom to use. One of: "link_arc", which accounts for directed and bidirected edges, "link", "arc", or "diagonal"
node_size	size of DAG node
text_size	size of DAG text
label_size	size of label text
text_col	color of DAG text
label_col	color of label text
node	logical. Should nodes be included in the DAG?
stylized	logical. Should DAG nodes be stylized? If so, use geom_dag_nodes and if not use geom_dag_point
text	logical. Should text be included in the DAG?
use_labels	a string. Variable to use for geom_dag_repel_label(). Default is NULL.

Details

node_collider tags variable status and ggdag_collider plots all variable statuses.

Value

a tidy_dagitty with a status column for variable status or a ggplot

Examples

dag <- dagify(l ~ x + y,
  y ~ x,
  exposure = "x",
  outcome = "y",
  latent = "l"
)

node_status(dag)
ggdag_status(dag)

ggdag documentation built on May 31, 2023, 7:48 p.m.