Nothing
test_that("Plot SampleID extraction is ok", {
# Test for ggplot2 else skip
if (!require("ggplot2", quietly = TRUE)) {
# Of course, we can't generate a plot to feed to the manipulations.
# This means that we can pass any value, the `ggplot` presence is tested first.
expect_error(
get_plot_sample_ids(123),
"requires ggplot2 package installation",
fixed = TRUE
)
testthat::skip("ggplot2 not available for testing plot production")
}
p <- plot_ftir(biodiesel)
expect_equal(get_plot_sample_ids(p), as.factor(unique(biodiesel$sample_id)))
expect_error(
get_plot_sample_ids(biodiesel),
"`ftir_spectra_plot` must be a ggplot object. You provided ",
fixed = TRUE
)
})
test_that("Intensity Typing works", {
expect_equal(intensity_type(biodiesel), "absorbance")
expect_equal(
intensity_type(absorbance_to_transmittance(biodiesel)),
"transmittance"
)
b2 <- biodiesel
colnames(biodiesel)[colnames(biodiesel) == "absorbance"] <- "intensity"
expect_equal(intensity_type(b2), "absorbance")
})
test_that("Checking FTIR data works", {
# Most checks are validated in one way or another by the repeated calling of the check_ftir_data()
# function in the other code, but we intentionally manually validate here.
bad_ftir <- biodiesel
attr(bad_ftir, "intensity") <- "test"
expect_error(
check_ftir_data(bad_ftir),
"has unexpected attributes.",
fixed = TRUE
)
no_attr_ftir <- biodiesel
attr(no_attr_ftir, "intensity") <- NULL
expect_equal(attr(check_ftir_data(no_attr_ftir), "intensity"), "absorbance")
})
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