Nothing
#data preparation
data("ovarian_FDA")
#univariate fpca tests
test_that("mxFDA object class is right", {
ovarian_FDA = run_fpca(ovarian_FDA, metric = "uni g", r = "r", value = "fundiff",
lightweight = TRUE,
pve = .99)
expect_true(inherits(ovarian_FDA, "mxFDA"))
})
#just looks at the length of 'metric', not wther the summary of metric exists
test_that("metric needs to be length 1", {
expect_error(run_fpca(ovarian_FDA, metric = c("uni g", "uni k"), r = "r", value = "fundiff",
lightweight = TRUE,
pve = .99))
})
test_that("metric summary must exist", {
expect_error(
run_fpca(ovarian_FDA, metric = "uni k", r = "r", value = "fundiff",
lightweight = TRUE,
pve = .99)
)
})
test_that("value needs to be in summary", {
expect_error(
run_fpca(ovarian_FDA, metric = "uni g", r = "r", value = "Degree of Clustering Exact",
lightweight = TRUE,
pve = .99)
)
})
test_that("r needs to be in summary", {
expect_error(
run_fpca(ovarian_FDA, metric = "uni g", r = "radius", value = "fundiff",
lightweight = TRUE,
pve = .99)
)
})
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