Function reference • ggdag

Create and Tidy Dags
`tidy_dagitty()`	Tidy a `dagitty` object
`dagify()`	Create a dagitty DAG using R-like syntax
`dag()`	Create a dagitty DAG
`coords2df()` `coords2list()`	Manipulate DAG coordinates
`label<-`() `dag_label()` `label()` `has_labels()`	DAG labels
`simulate_data()`	Simulate Data from Structural Equation Model
Analyzing and Plotting DAGs
`node_canonical()` `ggdag_canonical()`	Canonicalize a DAG
`node_collider()` `ggdag_collider()`	Find colliders
`node_dconnected()` `node_dseparated()` `node_drelationship()` `ggdag_drelationship()` `ggdag_dseparated()` `ggdag_dconnected()`	D-relationship between variables
`node_equivalent_dags()` `ggdag_equivalent_dags()` `node_equivalent_class()` `ggdag_equivalent_class()`	Generating Equivalent Models
`node_exogenous()` `ggdag_exogenous()`	Find Exogenous Variables
`node_instrumental()` `ggdag_instrumental()`	Find Instrumental Variables
`node_status()` `ggdag_status()`	Find variable status
`node_children()` `node_parents()` `node_ancestors()` `node_descendants()` `node_markov_blanket()` `node_adjacent()` `ggdag_children()` `ggdag_parents()` `ggdag_ancestors()` `ggdag_descendants()` `ggdag_markov_blanket()` `ggdag_adjacent()`	Familial relationships between variables
`dag_adjustment_sets()` `ggdag_adjustment_set()`	Covariate Adjustment Sets
`label<-`() `dag_label()` `label()` `has_labels()`	DAG labels
`dag_paths()` `ggdag_paths()` `ggdag_paths_fan()`	Find Open Paths Between Variables
`control_for()` `adjust_for()` `ggdag_adjust()`	Adjust for variables and activate any biasing paths that result
`ggdag()`	Quickly plot a DAG in ggplot2
`ggdag_classic()`	Quickly plot a DAG in ggplot2
`m_bias()` `butterfly_bias()` `confounder_triangle()` `collider_triangle()` `mediation_triangle()` `ggdag_m_bias()` `ggdag_butterfly_bias()` `ggdag_confounder_triangle()` `ggdag_collider_triangle()` `ggdag_mediation_triangle()`	Quickly create a DAGs with common structures of bias
`activate_collider_paths()`	Activate paths opened by stratifying on a collider
`is_collider()` `is_downstream_collider()`	Detecting colliders in DAGs
`is_confounder()`	Assess if a variable confounds a relationship
`is.tidy_dagitty()`	Test for object class for tidy_dagitty
ggplot2 geoms, themes, and scales
`geom_dag_collider_edges()`	Edges for paths activated by stratification on colliders
`geom_dag_edges_link()` `geom_dag_edges_arc()` `geom_dag_edges_diagonal()` `geom_dag_edges_fan()`	Directed DAG edges
`geom_dag_edges()`	Directed and bidirected DAG edges
`geom_dag_text()`	Node text
`geom_dag_node()` `geom_dag_point()`	DAG Nodes
`geom_dag_text_repel()` `geom_dag_label_repel()`	Repulsive textual annotations
`theme_dag_blank()` `theme_dag()` `theme_dag_grid()`	Minimalist DAG themes
`theme_dag_grey()` `theme_dag_gray()` `theme_dag_grey_grid()` `theme_dag_gray_grid()`	Simple grey themes for DAGs
`scale_adjusted()` `scale_dag()`	Common scale adjustments for DAGs
Common Structures of Bias
`m_bias()` `butterfly_bias()` `confounder_triangle()` `collider_triangle()` `mediation_triangle()` `ggdag_m_bias()` `ggdag_butterfly_bias()` `ggdag_confounder_triangle()` `ggdag_collider_triangle()` `ggdag_mediation_triangle()`	Quickly create a DAGs with common structures of bias
Misc
`as.data.frame(<tidy_dagitty>)`	Convert a `tidy_dagitty` object to data.frame
`as.tbl(<tidy_daggity>)` `as_tibble(<tidy_daggity>)`	Convert a `tidy_dagitty` object to tbl
`as_tbl_graph(<tidy_dagitty>)` `as_tbl_graph(<dagitty>)`	Convert DAGS to tidygraph
`select(<tidy_dagitty>)` `filter(<tidy_dagitty>)` `mutate(<tidy_dagitty>)` `summarise(<tidy_dagitty>)` `distinct(<tidy_dagitty>)` `arrange(<tidy_dagitty>)` `group_by(<tidy_dagitty>)` `ungroup(<tidy_dagitty>)` `transmute(<tidy_dagitty>)` `distinct(<tidy_dagitty>)` `full_join(<tidy_dagitty>)` `inner_join(<tidy_dagitty>)` `left_join(<tidy_dagitty>)` `right_join(<tidy_dagitty>)` `anti_join(<tidy_dagitty>)` `semi_join(<tidy_dagitty>)` `slice(<tidy_dagitty>)` `select_(<tidy_dagitty>)` `filter_(<tidy_dagitty>)` `mutate_(<tidy_dagitty>)` `summarise_(<tidy_dagitty>)` `arrange_(<tidy_dagitty>)` `slice_(<tidy_dagitty>)`	Dplyr verb methods for `tidy_dagitty` objects
`expand_plot()`	Quickly scale the size of a ggplot
`fortify(<tidy_dagitty>)` `fortify(<dagitty>)`	Fortify a `tidy_dagitty` object for `ggplot2`
`ggplot(<tidy_dagitty>)` `ggplot(<dagitty>)`	Create a new ggplot
`print(<tidy_dagitty>)`	Print a `tidy_dagitty`
`remove_axes()` `remove_grid()`	Quickly remove plot axes and grids
`tbl_df.tidy_daggity()`	Convert a `tidy_dagitty` object to tbl_df

Reference

Create and Tidy Dags

Analyzing and Plotting DAGs

ggplot2 geoms, themes, and scales

Common Structures of Bias

Misc