Implements a generalized switching equation. Reveals observed outcomes from multiple potential outcomes variables and an assignment variable.
Usage,
reveal_outcomes(x)Arguments
- x
A formula with the outcome name on the left hand side and assignment variables on the right hand side (e.g.,
Y ~ Z).
Examples
dat <- fabricate(
N = 10,
U = rnorm(N),
potential_outcomes(Y ~ 0.1 * Z + U)
)
fabricate(
data = dat,
Z = rbinom(N, 1, prob = 0.5),
Y = reveal_outcomes(Y ~ Z)
)
#> ID U Y_Z_0 Y_Z_1 Z Y
#> 1 01 0.1265327 0.1265327 0.22653270 1 0.2265327
#> 2 02 1.3631613 1.3631613 1.46316135 1 1.4631613
#> 3 03 -0.2390293 -0.2390293 -0.13902932 1 -0.1390293
#> 4 04 -0.9538384 -0.9538384 -0.85383837 0 -0.9538384
#> 5 05 -1.1681351 -1.1681351 -1.06813509 1 -1.0681351
#> 6 06 0.6278313 0.6278313 0.72783126 1 0.7278313
#> 7 07 -0.1950585 -0.1950585 -0.09505848 0 -0.1950585
#> 8 08 1.0817998 1.0817998 1.18179976 1 1.1817998
#> 9 09 2.2887418 2.2887418 2.38874181 0 2.2887418
#> 10 10 -0.5928900 -0.5928900 -0.49288997 1 -0.4928900
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))),
Z1 = rbinom(N, 1, prob = 0.5),
Z2 = rbinom(N, 1, prob = 0.5),
Y = reveal_outcomes(Y ~ Z1 + Z2)
)
#> ID U Y_Z1_0_Z2_0 Y_Z1_1_Z2_0 Y_Z1_0_Z2_1 Y_Z1_1_Z2_1 Z1 Z2
#> 1 01 -1.44011569 -1.44011569 -1.3401157 -1.14011569 -0.54011569 0 0
#> 2 02 1.00499304 1.00499304 1.1049930 1.30499304 1.90499304 0 0
#> 3 03 -0.91661562 -0.91661562 -0.8166156 -0.61661562 -0.01661562 1 1
#> 4 04 0.82414579 0.82414579 0.9241458 1.12414579 1.72414579 1 0
#> 5 05 3.29435546 3.29435546 3.3943555 3.59435546 4.19435546 1 1
#> 6 06 0.99514871 0.99514871 1.0951487 1.29514871 1.89514871 1 0
#> 7 07 0.78008252 0.78008252 0.8800825 1.08008252 1.68008252 1 1
#> 8 08 -0.28606581 -0.28606581 -0.1860658 0.01393419 0.61393419 0 1
#> 9 09 0.04567925 0.04567925 0.1456793 0.34567925 0.94567925 1 0
#> 10 10 0.35537127 0.35537127 0.4553713 0.65537127 1.25537127 0 1
#> Y
#> 1 -1.44011569
#> 2 1.00499304
#> 3 -0.01661562
#> 4 0.92414579
#> 5 4.19435546
#> 6 1.09514871
#> 7 1.68008252
#> 8 0.01393419
#> 9 0.14567925
#> 10 0.65537127