Nothing
context("bold_filter")
test_that("bold_filter works as expected", {
vcr::use_cassette("bold_seqspec", {
test_data <- bold_seqspec(taxon = "Coelioxys")
})
# max
test <- bold_filter(test_data, by = "species_name")
expect_is(test, "data.frame")
expect_gt(NROW(test), 10)
expect_gt(NCOL(test), 10)
expect_equal(length(unique(test$species_name)), NROW(test))
# actually got max
taxon <- "Coelioxys elongata"
o_lens <- nchar(test_data[test_data$species_name == taxon, "nucleotides", drop = TRUE])
new_lens <- nchar(test[test$species_name == taxon, "nucleotides", drop = TRUE])
expect_equal(new_lens, max(o_lens))
# min
test <- bold_filter(as.matrix(test_data), by = "species_name", how = "min")
expect_is(test, "data.frame")
expect_gt(NROW(test), 10)
expect_gt(NCOL(test), 10)
expect_equal(length(unique(test$species_name)), NROW(test))
# actually got max
new_lens <- nchar(test[test$species_name == taxon, "nucleotides", drop = TRUE])
expect_equal(new_lens, min(o_lens))
})
test_that("bold_filter returns fails well", {
expect_error(bold_filter(), "argument 'x' is missing")
expect_error(bold_filter(x = 5, by = 1), "'x' must be of class data.frame or matrix")
expect_error(bold_filter(x = mtcars, by = "foobar"),
"'foobar' is not a valid column in 'x'")
expect_error(bold_filter(x = mtcars, "mpg", "adf"),
"'how' must be one of 'min' or 'max'")
})
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