Nothing
test_that("Percent agreement values are correct.", {
test_data_1 <- tibble::tribble(
~rater, ~subject, ~coding, ~multi_coded, ~agree, ~percent_agree,
1, 1, 1, 0, NA, 50,
1, 2, 0, 0, NA, 50,
1, 3, 1, 1, 1, 50,
1, 4, 0, 1, 0, 50,
2, 3, 1, 1, 1, 75,
2, 9, 0, 0, NA, 75,
2, 10, 1, 0, NA, 75,
2, 4, 1, 1, 0, 75,
2, 5, 1, 1, 1, 75,
2, 6, 1, 1, 1, 75,
3, 5, 1, 1, 1, 100,
3, 6, 1, 1, 1, 100,
3, 7, 1, 0, NA, 100,
3, 8, 1, 0, NA, 100,
)
test_data_1_agree <- ura::rater_agreement(test_data_1,
rater_column = 'rater',
subject_column = 'subject',
coding_column = 'coding')
# test whether the the number of multi-coded actions per rater matches
# expectations set by the multi_coded column in the test dataset.
check_multi_coded <- test_data_1 %>%
dplyr::group_by(rater) %>%
dplyr::summarise(n_multi_coded = sum(multi_coded))
test_multi_coded <- dplyr::semi_join(test_data_1_agree,
check_multi_coded,
by = c("rater",
"n_multi_coded")) %>%
nrow()
testthat::expect_equal(test_multi_coded,
nrow(test_data_1_agree))
# test whether the percent agreement per rater matches the expectations set
# by the percent_agree column in the test dataset.
check_percent_agree <- test_data_1 %>%
dplyr::select(rater,
percent_agree) %>%
dplyr::distinct()
test_percent_agree <- dplyr::semi_join(test_data_1_agree,
check_percent_agree,
by = c("rater",
"percent_agree")) %>%
nrow()
testthat::expect_equal(test_percent_agree,
nrow(test_data_1_agree))
})
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