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control_for

Adjust for variables and activate any biasing paths that result

Description

Adjust for variables and activate any biasing paths that result

Usage

control_for(.tdy_dag, var, as_factor = TRUE, ...)

adjust_for(.tdy_dag, var, as_factor = TRUE, ...)

ggdag_adjust(
  .tdy_dag,
  var = NULL,
  ...,
  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,
  collider_lines = TRUE
)

Arguments

.tdy_dag

input graph, an object of class tidy_dagitty or dagitty
var

a character vector, the variable(s) to adjust for.
as_factor

logical. Should the adjusted column be a factor?
...

additional arguments passed to tidy_dagitty()
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.
collider_lines

logical. Should the plot show paths activated by adjusting for a collider?

Value

a tidy_dagitty with a adjusted column for adjusted variables, as well as any biasing paths that arise, or a ggplot

Examples

dag <- dagify(m ~ a + b, x ~ a, y ~ b)

control_for(dag, var = "m")
ggdag_adjust(dag, var = "m")
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

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