Nothing
test_that("list to df to list inverts correctly", {
simulated_data <- generate_simulated_data(n = 100)
estimate <- gapclosing(
data = simulated_data,
outcome_formula = formula(outcome ~ treatment * category + confounder),
treatment_name = "treatment",
category_name = "category",
counterfactual_assignments = 1,
se = FALSE
)
estimate.df <- as.data.frame(estimate)
estimate.list <- df_to_gapclosing_list(estimate.df)
# Check that classes are correct
expect_s3_class(estimate, "gapclosing")
expect_s3_class(estimate.df, "data.frame")
expect_equal(class(estimate.list), "list")
# Check that components are equal
# Because names in some cases get re-ordered, write a function to do this.
check_component <- function(original, reconstructed) {
check1 <- all(sort(names(original)) == sort(names(reconstructed)))
expect_equal(check1, TRUE)
expect_equal(original, reconstructed[names(original)])
}
for (i in 1:6) {
check_component(estimate[[i]], estimate.list[[i]])
}
for (i in 1:3) {
check2 <- all(sort(names(estimate$all_estimators[[i]])) == sort(names(estimate.list$all_estimators[[i]])))
expect_equal(check2, TRUE)
for (j in names(estimate$all_estimators[[i]])) {
check_component(estimate$all_estimators[[i]][[j]], estimate.list$all_estimators[[i]][[j]])
}
}
})
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