Nothing
data(testing_data)
test_that("Simple lnRR is correctly computed", {
res <- with(testing_data, .simple_lnRR(
Ctrl_mean = C_mean,
Ctrl_sd = C_sd,
Ctrl_n = C_n,
A_mean = A_mean,
A_sd = A_sd,
A_n = A_n
))
test_lnRR <- with(testing_data, log(A_mean/C_mean))
test_lnRRv <- with(testing_data,
((C_sd^2) / (C_n * C_mean^2)) +
((A_sd^2) / (A_n * A_mean^2))
)
expect_equal(res$simple_lnRR, test_lnRR, tolerance = 1e-6)
expect_equal(res$simple_lnRRv, test_lnRRv, tolerance = 1e-6)
})
test_that("The main lnRR is correctly computed with Morris method", {
res <- with(testing_data, .main_lnRR_Morris(
Ctrl_mean = C_mean,
Ctrl_sd = C_sd,
Ctrl_n = C_n,
A_mean = A_mean,
A_sd = A_sd,
A_n = A_n,
B_mean = B_mean,
B_sd = B_sd,
B_n = B_n,
AB_mean = AB_mean,
AB_sd = AB_sd,
AB_n = AB_n
))
expect_equal(res$main_lnRR, testing_data$A_main_lnRR, tolerance = 1e-6)
expect_equal(res$main_lnRRv, testing_data$A_main_lnRRv, tolerance = 1e-6)
})
test_that("The main lnRR using Nakagawa's method is correctly computed", {
res <- .main_lnRR_Nakagawa(
Ctrl_mean = 10,
Ctrl_sd = 2,
Ctrl_n = 10,
A_mean = 12,
A_sd = 2.5,
A_n = 10,
B_mean = 8,
B_sd = 1.5,
B_n = 10,
AB_mean = 15,
AB_sd = 3,
AB_n = 10
)
# Manually computed for testing
test_lnRR <- 0.405465108
test_lnRRv <- 0.003963975
expect_equal(res$main_lnRR, test_lnRR, tolerance = 1e-6)
expect_equal(res$main_lnRRv, test_lnRRv, tolerance = 1e-6)
})
test_that("The interaction lnRR is correctly computed", {
res <- with(testing_data, .interaction_lnRR(
Ctrl_mean = C_mean,
Ctrl_sd = C_sd,
Ctrl_n = C_n,
A_mean = A_mean,
A_sd = A_sd,
A_n = A_n,
B_mean = B_mean,
B_sd = B_sd,
B_n = B_n,
AB_mean = AB_mean,
AB_sd = AB_sd,
AB_n = AB_n
))
expect_equal(res$inter_lnRR, testing_data$AB_main_lnRR, tolerance = 1e-6)
expect_equal(res$inter_lnRRv, testing_data$AB_main_lnRRv, tolerance = 1e-6)
})
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