View source: R/adjustment_sets.R
Adjust for variables | R Documentation |
Adjust for variables and activate any biasing paths that result
control_for(.tdy_dag, var, as_factor = TRUE, activate_colliders = TRUE, ...)
adjust_for(.tdy_dag, var, as_factor = TRUE, activate_colliders = 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
)
.tdy_dag |
input graph, an object of class |
var |
a character vector, the variable(s) to adjust for. |
as_factor |
logical. Should the |
activate_colliders |
logical. Include colliders activated by adjustment? |
... |
additional arguments passed to |
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
|
text |
logical. Should text be included in the DAG? |
use_labels |
a string. Variable to use for
|
collider_lines |
logical. Should the plot show paths activated by adjusting for a collider? |
a tidy_dagitty
with a adjusted
column for adjusted
variables, as well as any biasing paths that arise, or a ggplot
dag <- dagify(m ~ a + b, x ~ a, y ~ b)
control_for(dag, var = "m")
ggdag_adjust(dag, var = "m")
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