Implements a generalized switching equation. Reveals observed outcomes from multiple potential outcomes variables and an assignment variable.
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 0.5673181 0.5673181 0.6673181 1 0.6673181
#> 2 02 0.7043605 0.7043605 0.8043605 0 0.7043605
#> 3 03 1.3209924 1.3209924 1.4209924 0 1.3209924
#> 4 04 0.8864451 0.8864451 0.9864451 0 0.8864451
#> 5 05 0.5588969 0.5588969 0.6588969 0 0.5588969
#> 6 06 0.2101449 0.2101449 0.3101449 0 0.2101449
#> 7 07 -0.4369102 -0.4369102 -0.3369102 0 -0.4369102
#> 8 08 0.4318512 0.4318512 0.5318512 1 0.5318512
#> 9 09 -0.6456359 -0.6456359 -0.5456359 0 -0.6456359
#> 10 10 -0.3502823 -0.3502823 -0.2502823 0 -0.3502823
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 -0.18006983 -0.18006983 -0.08006983 0.1199302 0.7199302 1 1
#> 2 02 -0.50529564 -0.50529564 -0.40529564 -0.2052956 0.3947044 0 0
#> 3 03 -1.07693835 -1.07693835 -0.97693835 -0.7769384 -0.1769384 0 0
#> 4 04 1.30743596 1.30743596 1.40743596 1.6074360 2.2074360 1 0
#> 5 05 0.43191932 0.43191932 0.53191932 0.7319193 1.3319193 1 0
#> 6 06 0.24205469 0.24205469 0.34205469 0.5420547 1.1420547 0 1
#> 7 07 -0.02047123 -0.02047123 0.07952877 0.2795288 0.8795288 1 1
#> 8 08 -0.02921057 -0.02921057 0.07078943 0.2707894 0.8707894 0 0
#> 9 09 0.48977904 0.48977904 0.58977904 0.7897790 1.3897790 1 0
#> 10 10 0.19403637 0.19403637 0.29403637 0.4940364 1.0940364 0 0
#> Y
#> 1 0.71993017
#> 2 -0.50529564
#> 3 -1.07693835
#> 4 1.40743596
#> 5 0.53191932
#> 6 0.54205469
#> 7 0.87952877
#> 8 -0.02921057
#> 9 0.58977904
#> 10 0.19403637