Nothing
test_that("calculated risk is returned in the correct format", {
expect_type(risk_measures, "list")
expect_type(risk_measure_int1, "double")
# one risk measure per scenario
expect_equal(sum(unlist(lapply(risk_measures, length))), length(psa_data))
expect_equal(length(risk_measure_int1), 1)
})
test_that("unweighted risk is calculated correctly from sample data", {
expect_equal(
round(unlist(
calculate_risk(psa_data, tmin = tmin, tmax = tmax, Dt = Dt, Dt_max = TRUE)
), digits = 0),
c(Baseline = 23078, Intervention_1 = 2007)
)
expect_equal(round(unlist(
calculate_risk(psa_data$Intervention_1,
tmin = tmin, tmax = tmax, Dt = Dt,
Dt_max = TRUE
)
), digits = 0), 2007)
})
test_that("the first argument is not a data.frame or list of data.frames", {
expect_error(
calculate_risk(c(1:10), tmin = tmin, tmax = tmax, Dt = Dt, Dt_max = TRUE),
class = "data_type"
)
})
test_that("error if Dt is not the same length as the number of time steps", {
expect_error(
calculate_risk(psa_data,
tmin = tmin, tmax = tmax, Dt = c(rep(750, 199)),
Dt_max = TRUE
),
class = "Dt_length"
)
})
test_that("error if the weight vector is not the same length as the number of simulations", {
expect_error(
calculate_risk(psa_data,
tmin = tmin, tmax = tmax, Dt = Dt, Dt_max = TRUE,
W = TRUE, weight = c(rep(1, length(psa_data$Baseline[1, ]) - 2))
),
class = "weight_vector"
)
expect_error(
calculate_risk(psa_data,
tmin = tmin, tmax = tmax, Dt = Dt, Dt_max = TRUE,
W = TRUE
),
class = "weight_vector"
)
expect_error(
calculate_risk(psa_data$Baseline,
tmin = tmin, tmax = tmax, Dt = Dt, Dt_max = TRUE,
W = TRUE, weight = c(rep(1, length(psa_data$Baseline[1, ]) - 2))
),
class = "weight_vector"
)
})
test_that("error if the value of 'tmin' or 'tmax' cannot be found in the first
column of the data.frame.", {
expect_error(
calculate_risk(psa_data, tmin = 0, tmax = tmax, Dt = Dt, Dt_max = TRUE),
class = "tmin_max"
)
expect_error(
calculate_risk(psa_data,
tmin = tmin, tmax = "2024-01-01", Dt = Dt,
Dt_max = TRUE
),
class = "tmin_max"
)
})
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