Adjust for variables and activate any biasing paths that result
control_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 = TRUE, text = TRUE, use_labels = NULL, collider_lines = 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 = TRUE, text = TRUE, use_labels = NULL, collider_lines = TRUE)
input graph, an object of class tidy_dagitty or dagitty
tidy_dagitty
dagitty
a character vector, the variable(s) to adjust for.
logical. Should the adjusted column be a factor?
adjusted
additional arguments passed to tidy_dagitty()
tidy_dagitty()
size of DAG node
size of DAG text
size of label text
color of DAG text
color of label text
logical. Should nodes be included in the DAG?
logical. Should DAG nodes be stylized? If so, use geom_dag_nodes and if not use geom_dag_point
geom_dag_nodes
geom_dag_point
logical. Should text be included in the DAG?
a string. Variable to use for geom_dag_repel_label(). Default is NULL.
geom_dag_repel_label()
NULL
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
ggplot
# NOT RUN { dag <- dagify(m ~ a + b, x ~ a, y ~ b) control_for(dag, var = "m") ggdag_adjust(dag, var = "m") # }
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