Nothing
test_that("get_thresholds is correct", {
test_iris <- create_iris_df()
thresholds <- get_thresholds(
data = test_iris,
predictor = Sepal.Width
)
expected_thresholds <- points.thresholds(
test_iris[["Species_bin_fct"]],
test_iris[["Sepal.Width"]]
)
expect_equal(thresholds, expected_thresholds)
})
test_that("calc_ratios, calc_fpr and calc_tpr are correct", {
test_iris <- create_iris_df()
thresholds <- get_thresholds(test_iris, predictor = Sepal.Width)
tpr <- calc_tpr(
data = test_iris,
thresholds = thresholds,
response = Species_bin_fct,
predictor = Sepal.Width
)
fpr <- calc_fpr(
data = test_iris,
thresholds = thresholds,
response = Species_bin_fct,
predictor = Sepal.Width
)
ratios <- calc_ratios(
data = test_iris,
thresholds = thresholds,
response = Species_bin_fct,
predictor = Sepal.Width
)
sorted_tpr <- rev(tpr)
sorted_fpr <- rev(fpr)
sorted_tpr_ratio <- rev(ratios[["tpr"]])
sorted_fpr_ratio <- rev(ratios[["fpr"]])
expected_points <- points.curve(
test_iris[["Species_bin_fct"]],
test_iris[["Sepal.Width"]]
)
expect_equal(sorted_fpr, expected_points[, 1])
expect_equal(sorted_tpr, expected_points[, 2])
expect_equal(sorted_fpr_ratio, expected_points[, 1])
expect_equal(sorted_tpr_ratio, expected_points[, 2])
})
test_that("sorting not needed in calc_*", {
test_iris <- create_iris_df()
thresholds <- get_thresholds(
data = test_iris,
predictor = Sepal.Width
)
ratios <- as_tibble(
calc_ratios(
data = test_iris,
thresholds = thresholds,
predictor = Sepal.Width,
response = Species_bin_fct
)
)
expected_ratios <- tibble(
fpr = points.curve(
test_iris[["Species_bin_fct"]],
test_iris[["Sepal.Width"]]
)[, 1],
tpr = points.curve(
test_iris[["Species_bin_fct"]],
test_iris[["Sepal.Width"]]
)[, 2]
)
expect_true(dplyr::setequal(ratios, expected_ratios))
})
test_that("roc_points works selecting a .condition", {
test_iris <- create_iris_df()
virg_fct_roc_points <- roc_points(
test_iris,
response = Species,
predictor = Sepal.Length,
.condition = "virginica"
)
virg_int_roc_points <- roc_points(
test_iris,
response = Species_int,
predictor = Sepal.Length,
.condition = 3
)
virg_chr_roc_points <- roc_points(
test_iris,
response = Species_chr,
predictor = Sepal.Length,
.condition = "virginica"
)
expected_roc_points <- roc_points(
test_iris,
response = Species_bin_fct_virg,
predictor = Sepal.Length
)
expect_equal(virg_fct_roc_points, expected_roc_points)
expect_equal(virg_int_roc_points, expected_roc_points)
expect_equal(virg_chr_roc_points, expected_roc_points)
})
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