potential_outcomes: Build potential outcomes variables

In graemeblair/fabricatr: Imagine Your Data Before You Collect It

Build potential outcomes variables

Description

Function to draw multiple potential outcomes, one for each condition that an assignment variable can be set to.

Usage

potential_outcomes(x, conditions = list(Z = c(0, 1)), sep = "_")

Arguments

x	Formula describing the potential outcomes with the outcome name on the left hand side and the expression describing the potential outcomes on the right hand side, e.g. Y ~ 0.1 * Z + rnorm(N) (this would draw two potential outcomes columns by default, named Y_Z_0 and Y_Z_1).
conditions	A list of conditions for each assignment variable. Defaults to list(Z = c(0, 1)).
sep	Separator inserted between the outcome name and the assignment variable name used to construct the potential outcome variable names, defaults to "_".

Examples

fabricate(
  N = 10,
  U = rnorm(N),
  potential_outcomes(Y ~ 0.1 * Z + U)
)

# equivalently,

fabricate(
  N = 10,
  U = rnorm(N),
  potential_outcomes(Y ~ 0.1 * Z + U,
                     conditions = list(Z = c(0, 1)))
)

fabricate(
  N = 10,
  U = rnorm(N),
  potential_outcomes(Y ~ 0.1 * Z + U,
                     conditions = list(Z = c(1, 2, 3)))
)

fabricate(
  N = 10,
  U = rnorm(N),
  potential_outcomes(Y ~ 0.1 * Z1 + 0.3 * Z2 + 0.5 * Z1 * Z2 + U,
                     conditions = list(Z1 = c(0, 1),
                                       Z2 = c(0, 1)))
)

graemeblair/fabricatr documentation built on Feb. 10, 2025, 2:56 p.m.