The wonderful package ggdag can easily make DAG like this:
However, what we really want to include in publications is something like this:
The second one can include subscript and superscript, among many others. After some tweaking, I found a solution, not perfect but usable for now.
dag <- dagify(Y1 ~ X + Z1 + Z0 + U + P,
Y0 ~ Z0 + U,
X ~ Y0 + Z1 + Z0 + P,
Z1 ~ Z0,
P ~ Y0 + Z1 + Z0,
exposure = “X”,
outcome = “Y1”)
tidy_dagitty(layout = “auto”, seed = 12345) %>%
ggplot(aes(x = x, y = y, xend = xend, yend = yend)) +
geom_dag_text(parse = TRUE, label = c(“P”, “U”, “X”, expression(Y), expression(Y), expression(Z), expression(Z))) +
Here the trick is to sort the tidy version of the DAG data by “name”, then we can assign labels by the order of the name of the nodes. I hope a more automated approach can be developed in the future.
By the way, with the package latex2exp, it is straightforward to use LaTeX instead of plotmath commands.