library(testthat)
library(strayr)
library(dplyr)
test_that("asced_foe2001 is as-expected", {
# Check object
expect_is(asced_foe2001, "tbl_df")
# Check non-title labels
expect_equal(asced_foe2001[[2]][200], "Health")
# Check title labels
expect_equal(asced_foe2001[[2]][150], "Architecture and Building")
# Check digit conversion
expect_identical(asced_foe2001$aced_foe_broad_code,
substr(asced_foe2001$aced_foe_detailed_code, 1, 2))
expect_identical(asced_foe2001$aced_foe_narrow_code,
substr(asced_foe2001$aced_foe_detailed_code, 1, 4))
# Spotcheck occupations and skill levels
expect_equal(asced_foe2001 %>%
filter(aced_foe_detailed_code == "091901") %>%
pull(aced_foe_detailed),
"Economics")
expect_equal(asced_foe2001 %>%
filter(aced_foe_detailed_code == "129999") %>%
pull(aced_foe_detailed),
"Mixed Field Programmes, n.e.c.")
expect_equal(asced_foe2001 %>%
filter(aced_foe_detailed_code == "040101") %>%
pull(aced_foe_narrow),
"Architecture and Urban Environment")
})
test_that("clean_asced_foe works as intended", {
# Check that it matches with and &
expect_equal(clean_asced_foe("Architecture & urban environment"), "Architecture and Urban Environment")
# Check that it doesn't match when looking for exact match
expect_equal(clean_asced_foe("Maths", silent = TRUE), NA_character_)
# Check that it does match when looking for fuzzy match
expect_equal(clean_asced_foe("Maths", fuzzy_match = TRUE), "Mathematical Sciences")
# Test class is as expected
expect_is(clean_asced_foe("Architecture & urban environment"), "character")
# Test length
expect_length(clean_asced_foe(c("Architecture & urban environment", "mathematical sciences")), 2)
})
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