Toy data for demonstrating causal roles

A small simulated dataset in which each causal role that DAGassist() classifies appears at least once. Generated from toy_dag, so the correct adjustment set is known by construction: the total effect of X on Y requires adjusting for Z alone.

Usage

toy_data

Format

A data frame with 2,000 rows and 7 columns:

X

Exposure. Caused by Z.

Y

Outcome. Caused by X, M, Z, A, and B.

Z

Confounder: a common cause of X and Y.

M

Mediator: lies on the path X -> M -> Y.

C

Collider: a common descendant of X and Y.

A

Neutral control on the outcome; affects Y only.

B

Neutral control on the outcome; affects Y only.

Source

Simulated by data-raw/make_data.R.

Details

The data-generating process is linear and Gaussian with set.seed(42). True coefficients are X -> Y = 0.7, M -> Y = 0.6, Z -> Y = 0.3, A -> Y = 0.2, B -> Y = -0.1.

See also

toy_dag for the generating graph.