Tidy a dagitty object

Tidy a dagitty object

Usage

tidy_dagitty(
  .dagitty,
  seed = NULL,
  layout = "nicely",
  ...,
  use_existing_coords = TRUE
)

Arguments

.dagitty

a dagitty

seed

a numeric seed for reproducible layout generation

layout

a layout available in ggraph. See ggraph::create_layout() for details. Alternatively, "time_ordered" will use time_ordered_coords() to algorithmically sort the graph by time.

...

optional arguments passed to ggraph::create_layout()

use_existing_coords

(Advanced). Logical. Use the coordinates produced by dagitty::coordinates(.dagitty)? If the coordinates are empty, tidy_dagitty() will generate a layout. Generally, setting this to FALSE is thus only useful when there is a difference in the variables coordinates and the variables in the DAG, as sometimes happens when recompiling a DAG.

Value

a tidy_dagitty object

Examples

library(dagitty)
library(ggplot2)

dag <- dagitty("dag {
  Y <- X <- Z1 <- V -> Z2 -> Y
  Z1 <- W1 <-> W2 -> Z2
  X <- W1 -> Y
  X <- W2 -> Y
  X [exposure]
  Y [outcome]
  }")

tidy_dagitty(dag)
#> # DAG:
#> # A `dagitty` DAG with: 7 nodes and 12 edges
#> # Exposure: X
#> # Outcome: Y
#> #
#> # Data:
#> # A tibble: 13 × 7
#>    name       x        y direction to      xend   yend
#>    <chr>  <dbl>    <dbl> <fct>     <chr>  <dbl>  <dbl>
#>  1 V      1.50  -0.00126 ->        Z1     0.504 -1.01 
#>  2 V      1.50  -0.00126 ->        Z2     0.511  1.01 
#>  3 W1    -0.944 -0.579   ->        X     -0.321 -0.477
#>  4 W1    -0.944 -0.579   ->        Y     -0.930  0.593
#>  5 W1    -0.944 -0.579   ->        Z1     0.504 -1.01 
#>  6 W1    -0.944 -0.579   <->       W2    -0.317  0.465
#>  7 W2    -0.317  0.465   ->        X     -0.321 -0.477
#>  8 W2    -0.317  0.465   ->        Y     -0.930  0.593
#>  9 W2    -0.317  0.465   ->        Z2     0.511  1.01 
#> 10 X     -0.321 -0.477   ->        Y     -0.930  0.593
#> 11 Y     -0.930  0.593   NA        NA    NA     NA    
#> 12 Z1     0.504 -1.01    ->        X     -0.321 -0.477
#> 13 Z2     0.511  1.01    ->        Y     -0.930  0.593
#> #
#> # ℹ Use `pull_dag() (`?pull_dag`)` to retrieve the DAG object and `pull_dag_data() (`?pull_dag_data`)` for the data frame

tidy_dagitty(dag, layout = "fr") |>
  ggplot(aes(x = .data$x, y = .data$y, xend = .data$xend, yend = .data$yend)) +
  geom_dag_node() +
  geom_dag_text() +
  geom_dag_edges() +
  theme_dag()