ggdag: adjustment_sets – R documentation

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ggdag

adjustment_sets

Covariate Adjustment Sets

Description

See dagitty::adjustmentSets() for details.

Usage

dag_adjustment_sets(.tdy_dag, exposure = NULL, outcome = NULL, ...)

ggdag_adjustment_set(
  .tdy_dag,
  exposure = NULL,
  outcome = NULL,
  ...,
  shadow = FALSE,
  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,
  expand_x = expansion(c(0.25, 0.25)),
  expand_y = expansion(c(0.2, 0.2))
)

Arguments

`.tdy_dag`	input graph, an object of class `tidy_dagitty` or `dagitty`
`exposure`	a character vector, the exposure variable. Default is `NULL`, in which case it will be determined from the DAG.
`outcome`	a character vector, the outcome variable. Default is `NULL`, in which case it will be determined from the DAG.
`...`	additional arguments to `adjustmentSets`
`shadow`	logical. Show paths blocked by adjustment?
`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`.
`expand_x`	Vector of range expansion constants used to add some padding around the data, to ensure that they are placed some distance away from the axes. Use the convenience function `ggplot2::expansion()` to generate the values for the expand argument.
`expand_y`	Vector of range expansion constants used to add some padding around the data, to ensure that they are placed some distance away from the axes. Use the convenience function `ggplot2::expansion()` to generate the values for the expand argument.

Value

a tidy_dagitty with an adjusted column and set column, indicating adjustment status and DAG ID, respectively, for the adjustment sets or a ggplot

Examples

dag <- dagify(y ~ x + z2 + w2 + w1,
  x ~ z1 + w1,
  z1 ~ w1 + v,
  z2 ~ w2 + v,
  w1 ~~ w2,
  exposure = "x",
  outcome = "y")

tidy_dagitty(dag) %>% dag_adjustment_sets()

ggdag_adjustment_set(dag)

ggdag_adjustment_set(dagitty::randomDAG(10, .5),
  exposure = "x3",
  outcome = "x5")

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

adjustment_sets

Description

Usage

Arguments

Value

Examples

ggdag

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