# CHECK INPUTS -----------------------------------------------------------------
## Errors ----
test_that("error if inputs don't have correct types", {
expect_error(hotspot_classify_params(hotspot_prop = character()))
expect_error(hotspot_classify_params(persistent_prop = character()))
expect_error(hotspot_classify_params(recent_prop = character()))
expect_error(hotspot_classify_params(critical_p = character()))
expect_error(hotspot_classify_params(nb_dist = character()))
expect_error(hotspot_classify_params(include_self = character()))
expect_error(hotspot_classify_params(p_adjust_method = 1))
})
test_that("error if inputs aren't of length 1", {
expect_error(hotspot_classify_params(hotspot_prop = 1:2))
expect_error(hotspot_classify_params(persistent_prop = 1:2))
expect_error(hotspot_classify_params(recent_prop = 1:2))
expect_error(hotspot_classify_params(critical_p = 1:2))
expect_error(hotspot_classify_params(nb_dist = 1:2))
expect_error(hotspot_classify_params(include_self = c(TRUE, FALSE)))
expect_error(
hotspot_classify_params(p_adjust_method = stats::p.adjust.methods[1:2])
)
})
test_that("error if values are of the correct type/length but are invalid", {
expect_error(hotspot_classify_params(hotspot_prop = 2))
expect_error(hotspot_classify_params(persistent_prop = 2))
expect_error(hotspot_classify_params(recent_prop = 2))
expect_error(hotspot_classify_params(critical_p = 2))
expect_error(hotspot_classify_params(nb_dist = -1))
expect_error(hotspot_classify_params(p_adjust_method = "some other method"))
})
# CHECK OUTPUTS ----------------------------------------------------------------
## Correct outputs ----
test_that("output list contains required elements", {
expect_identical(
names(hotspot_classify_params()),
c(
"hotspot_prop", "persistent_prop", "recent_prop", "critical_p",
"nb_dist", "include_self", "p_adjust_method"
)
)
})
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