Created
March 26, 2024 13:36
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Starter code for analyzing randomized experiments
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# load packages | |
library(tidyverse) | |
# create data frame of the potential outcomes | |
po <- tribble( | |
~Name, ~Y1, ~Y0, | |
"Alex Smith", 7, 5, | |
"Jamie Doe", 2, 3, | |
"Pat Johnson", 7, 7, | |
"Jordan Lee", 5, 4, | |
"Taylor Green", 3, 6, | |
"Morgan White", 4, 4, | |
"Casey Brown", 5, 3, | |
"Drew Wilson", 3, 3, | |
"Chris Bailey", 4, 2, | |
"Sam Rivera", 1, 3, | |
"Jesse Kim", 7, 1, | |
"Robin Parker", 5, 3 | |
) | |
# random assignment | |
zeros_and_ones <- rep(0:1, length.out = nrow(po)) | |
W <- sample(zeros_and_ones) | |
# create (fake) observed data set | |
observed <- data.frame( | |
W_num = W, | |
W_fct = ifelse(W == 1, "Treatment", "Control"), | |
Y = po$Y1*W + po$Y0*(1 - W) | |
) | |
# quick look | |
glimpse(observed) | |
# compute var(treatment group)/6 + var(control group)/6 | |
# ??? |
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