# Install packages
if (!requireNamespace("ggdag", quietly = TRUE)) {
install.packages("ggdag")
}
# Load packages
library(ggdag)
Directed Acyclic Graphs
Note
Hiplot website
This page is the tutorial for source code version of the Hiplot Directed Acyclic Graphs
plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:
Visualizing directed acyclic graphs.
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
ggdag
Data Preparation
# Load data
<- dagify(
tidy_ggdag ~ x + z2 + w2 + w1,
y ~ z1 + w1 + w2,
x ~ w1 + v,
z1 ~ w2 + v,
z2 ~ ~w2, # bidirected path
w1 exposure = "x",
outcome = "y") %>%
tidy_dagitty()
# View data
head(tidy_ggdag)
$data
# A tibble: 13 Γ 8
name x y direction to xend yend circular
<chr> <dbl> <dbl> <fct> <chr> <dbl> <dbl> <lgl>
1 v -1.49 0.461 -> z1 -0.0837 0.635 FALSE
2 v -1.49 0.461 -> z2 -1.34 -0.944 FALSE
3 w1 0.232 -0.302 -> x 0.791 -0.591 FALSE
4 w1 0.232 -0.302 -> y 0.0525 -1.50 FALSE
5 w1 0.232 -0.302 -> z1 -0.0837 0.635 FALSE
6 w1 0.232 -0.302 <-> w2 -0.364 -1.03 FALSE
7 w2 -0.364 -1.03 -> x 0.791 -0.591 FALSE
8 w2 -0.364 -1.03 -> y 0.0525 -1.50 FALSE
9 w2 -0.364 -1.03 -> z2 -1.34 -0.944 FALSE
10 x 0.791 -0.591 -> y 0.0525 -1.50 FALSE
11 y 0.0525 -1.50 <NA> <NA> NA NA FALSE
12 z1 -0.0837 0.635 -> x 0.791 -0.591 FALSE
13 z2 -1.34 -0.944 -> y 0.0525 -1.50 FALSE
$dag
dag {
v
w1
w2
x [exposure]
y [outcome]
z1
z2
v -> z1
v -> z2
w1 -> x
w1 -> y
w1 -> z1
w1 <-> w2
w2 -> x
w2 -> y
w2 -> z2
x -> y
z1 -> x
z2 -> y
}
Visualization
# Directed Acyclic Graphs
<- ggdag(tidy_ggdag) +
p theme_dag()
p
