Nothing

```
context("Quick Design")
test_that("expand_design works", {
two_arm_trial <- function(N) {
my_population <- declare_model(N = N, noise = rnorm(N))
my_potential_outcomes <- declare_potential_outcomes(Y_Z_0 = noise, Y_Z_1 = noise + rnorm(N, mean = 2, sd = 2))
my_assignment <- declare_assignment(Z = complete_ra(N, m = N/2))
pate <- declare_inquiry(mean(Y_Z_1 - Y_Z_0), label = "pate")
pate_estimator <-
declare_estimator(Y ~ Z, inquiry = pate, label = "pate_hat")
my_measurement <- declare_measurement(Y = reveal_outcomes(Y ~ Z))
my_design <- my_population +
my_potential_outcomes +
pate +
my_assignment +
my_measurement +
pate_estimator
return(my_design)
}
set.seed(1999)
direct <- draw_data(two_arm_trial(N = 50))
design <- expand_design(designer = two_arm_trial, N = 50)
set.seed(1999)
qd <- draw_data(design)
expect_identical(direct, qd)
})
rm(list = ls())
test_that("expand_design works some more", {
two_arm_trial <- function(N) {
pop <- declare_model(
N = N,
Y = rnorm(N),
Z = rbinom(N, 1, .5)
)
my_inquiry <- declare_inquiry(mean(Y))
my_estimator <-
declare_estimator(Y ~ Z,
.method = lm_robust,
term = "Z",
inquiry = my_inquiry
)
my_design <- pop + my_inquiry + my_estimator
return(my_design)
}
expect_equal(nrow(draw_data(two_arm_trial(N = 5))), 5)
expect_equal(nrow(draw_data(two_arm_trial(N = 15))), 15)
a_expand_design <- expand_design(designer = two_arm_trial, N = 50)
df <- draw_data(a_expand_design)
expect_equal(nrow(df), 50)
})
test_that("vary works", {
two_arm_trial <- function(N, noise_sd) {
my_population <-
declare_model(N = N, noise = rnorm(N, sd = noise_sd))
my_potential_outcomes <- declare_model(Y_Z_0 = noise, Y_Z_1 = noise + rnorm(N, mean = 2, sd = 2))
my_assignment <- declare_assignment(Z = complete_ra(N, m = N/2))
pate <- declare_inquiry(mean(Y_Z_1 - Y_Z_0), label = "pate")
pate_estimator <-
declare_estimator(Y ~ Z, inquiry = pate, label = "pate_hat")
my_measurement <- declare_measurement(Y = reveal_outcomes(Y ~ Z))
my_design <- my_population +
my_potential_outcomes +
pate +
my_assignment +
my_measurement +
pate_estimator
return(my_design)
}
design <- expand_design(
designer = two_arm_trial,
N = c(100, 200, 300),
noise_sd = 1
)
expect_length(design, 3)
diagnose_design(design, sims = 2, bootstrap_sims = FALSE)
design <- expand_design(
designer = two_arm_trial,
N = c(100, 200, 300),
noise_sd = c(.1, .2, .3)
)
expect_length(design, 9)
diagnose_design(design, sims = 2, bootstrap_sims = FALSE)
design <- expand_design(
designer = two_arm_trial,
expand = FALSE,
N = c(100, 200, 300),
noise_sd = c(.1, .2, .3)
)
expect_length(design, 3)
diagnose_design(design, sims = 2, bootstrap_sims = FALSE)
expect_error(expand_design(
designer = two_arm_trial,
expand = FALSE,
N = c(100, 200, 300),
noise_sd = c(.1, .2)
))
})
test_that("power curve", {
two_arm_trial <- function(N) {
my_population <- declare_model(N = N, noise = rnorm(N))
my_potential_outcomes <- declare_model(Y_Z_0 = noise, Y_Z_1 = noise + .25)
my_assignment <- declare_assignment(Z = complete_ra(N, m = N/2))
pate <- declare_inquiry(mean(Y_Z_1 - Y_Z_0), label = "pate")
pate_estimator <-
declare_estimator(Y ~ Z, inquiry = pate, label = "pate_hat")
my_measurement <- declare_measurement(Y = reveal_outcomes(Y ~ Z))
my_design <- my_population +
my_potential_outcomes +
pate +
my_assignment +
my_measurement +
pate_estimator
return(my_design)
}
design <-
expand_design(designer = two_arm_trial, N = c(100, 200, 300, 500, 1000))
expect_length(design, 5)
diagnosis <-
diagnose_design(design, sims = 2, bootstrap_sims = FALSE)
#
# library(ggplot2)
# ggplot(get_diagnosands(diagnosis), aes(x = N, y = power)) +
# geom_point() +
# geom_line() +
# theme_bw()
#
})
test_that("single design can be created by expand_design", {
# need to fix this population business single step
my_designer <-
function(N = 10) {
pop <-
declare_model(N = N)
design <- pop + NULL
design
}
my_design <- expand_design(my_designer)
expect_s3_class(my_design, "design")
#
# my_design <- expand_design(my_designer, N = 50)
#
# expect_s3_class(my_design, "design")
#
# expect_equal(nrow(draw_data(my_design)), 50)
#
# my_designs <- expand_design(my_designer, N = c(50, 100))
#
# expect_equal(length(my_designs), 2)
})
```

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