Tidy a dagitty object

Tidy a dagitty object

Usage

tidy_dagitty(
  .dagitty,
  seed = NULL,
  layout = ggdag_option("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. You can also pass the result of time_ordered_coords() directly: either the function returned when called with no arguments, or the coordinate tibble returned when called with arguments.

...

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   0.00225 ->        Z1    -0.513 -1.01 
#>  2 V     -1.50   0.00225 ->        Z2    -0.500  1.01 
#>  3 W1     0.314 -0.471   ->        X      0.931 -0.595
#>  4 W1     0.314 -0.471   ->        Y      0.939  0.579
#>  5 W1     0.314 -0.471   ->        Z1    -0.513 -1.01 
#>  6 W1     0.314 -0.471   <->       W2     0.326  0.478
#>  7 W2     0.326  0.478   ->        X      0.931 -0.595
#>  8 W2     0.326  0.478   ->        Y      0.939  0.579
#>  9 W2     0.326  0.478   ->        Z2    -0.500  1.01 
#> 10 X      0.931 -0.595   ->        Y      0.939  0.579
#> 11 Y      0.939  0.579   NA        NA    NA     NA    
#> 12 Z1    -0.513 -1.01    ->        X      0.931 -0.595
#> 13 Z2    -0.500  1.01    ->        Y      0.939  0.579
#> #
#> # 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()