Nothing
# test_that("linearity_sync", {
# main <- sync_linearity(quantobj)
# })
test_that("run linearity", {
suppressWarnings({
x <- run_linearity(quantobj, compound_id = "MITRAGYNINE") |>
expect_no_error()
x <- Reduce(
function(acc, y) {
run_linearity(acc, compound_id = y)
},
# names(quantobj@linearity),
c("MITRAGYNINE", "7OH-MITRA"),
init = quantobj
) |>
expect_no_error()
has_linearity(x, "MITRAGYNINE") |> expect_true()
has_linearity(x, "7OH-MITRA") |> expect_true()
has_linearity(x, "Ketoconazole") |> expect_false() #
tabulate_summary_linearity(x, "MITRAGYNINE") |> nrow() |> expect_equal(1)
tabulate_summary_linearity(x) |> nrow() |> expect_equal(2)
plot_linearity(x, "MITRAGYNINE") |> expect_no_error()
plot_residuals(x, "MITRAGYNINE") |> expect_no_error()
})
})
test_that("run linearity normalized", {
# test that fails if no IS assigned
# test that normalize fails if not integrated IS
# test it calculates on rel_response
suppressWarnings({
x <- run_linearity(
quantobj,
compound_id = "MITRAGYNINE",
normalize = TRUE
)
has_linearity(x, "MITRAGYNINE") |> expect_true()
})
suppressWarnings({
x <- run_linearity(
quantobj,
compound_id = "Ketoconazole",
normalize = TRUE
) |>
expect_error("All rel_response values are missing")
has_linearity(quantobj, "Ketoconazole") |> expect_false()
})
})
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