pet_hg <- ce_hg(2021, diary, hg_zip_path = "../testdata/stubs.zip") |>
ce_uccs("Pets", ucc_group = "PETS", uccs_only = FALSE)
ce_diary_pets21 <- ce_prepdata(
year = 2021,
survey = diary,
hg = pet_hg,
uccs = ce_uccs(pet_hg, "Pets", uccs_only = TRUE),
dia_zp = "../testdata/diary21.zip"
)
test_that("dataset has all required variables", {
expect_error(
ce_diary_pets21 %>% select(-wtrep04) %>% ce_mean,
paste(
"Your dataset needs to include 'finlwt21', all 44 replicate weights,",
"i.e., 'wtrep01' to 'wtrep44', the 'cost' variable, and the 'survey'",
"variable."
),
fixed = TRUE
)
})
test_that("dataset all required variables are numeric", {
expect_error(
ce_diary_pets21 %>%
dplyr::mutate(wtrep04 = as.character(wtrep04)) %>%
ce_mean,
paste(
"'finlwt21', all replicate weight variables, i.e., 'wtrep01' to",
"'wtrep44', and the 'cost' variable must be numeric."
),
fixed = TRUE
)
})
test_that("correct mean is calculated", {
expect_equal(round(ce_mean(ce_diary_pets21)$mean_exp, 2), 663.54)
})
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