test_that("coefficients match Gwet for interval", {
# Gwet (2014) pp. 89 - 90
data(interval)
d <- prep_data_cat(
.data = interval,
object = Object,
rater = Rater,
score = Score,
weighting = "quadratic",
agreement = "objects"
)
k_res <- calc_kappa(d$ratings, d$categories, d$weight_matrix, "objects")
expect_equivalent(round(k_res, 4), c(0.9206, 0.8314, 0.5290))
s_res <- calc_s(d$ratings, d$categories, d$weight_matrix, "objects")
expect_equivalent(round(s_res, 4), c(0.9206, 0.7500, 0.6823))
pi_res <- calc_pi(d$ratings, d$categories, d$weight_matrix, "objects")
expect_equivalent(round(pi_res, 4), c(0.9206, 0.8377, 0.5107))
g_res <- calc_gamma(d$ratings, d$categories, d$weight_matrix, "objects")
expect_equivalent(round(g_res, 4), c(0.9206, 0.6462, 0.7755))
a_res <- calc_alpha(d$ratings, d$categories, d$weight_matrix, "kripp")
expect_equivalent(round(a_res, 4), c(0.9364, 0.8336, 0.6180))
})
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