test_that("agreement coefficients match Ji and Gallo", {
#' @srrstats {G5.7} Algorithm performs as expected
x <- c(6, 8, 9, 10, 11, 14)
y <- c(2, 3, 5, 5, 6, 8)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_agreement_coefficient_vec(x, y),
0.475,
tolerance = 0.01
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_systematic_agreement_coefficient_vec(x, y),
0.478,
tolerance = 0.01
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_unsystematic_agreement_coefficient_vec(x, y),
0.996,
tolerance = 0.01
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_systematic_mpd_vec(x, y),
23.657,
tolerance = 0.01
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_unsystematic_mpd_vec(x, y),
0.177,
tolerance = 0.01
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_systematic_rmpd_vec(x, y),
4.864,
tolerance = 0.01
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_unsystematic_rmpd_vec(x, y),
0.420,
tolerance = 0.01
)
})
test_that("agreement coefficients are the same across methods", {
x <- c(6, 8, 9, 10, 11, 14)
y <- c(2, 3, 5, 5, 6, 8)
df <- data.frame(x = x, y = y)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_agreement_coefficient_vec(x, y),
ww_agreement_coefficient(df, x, y)$.estimate
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_systematic_agreement_coefficient_vec(x, y),
ww_systematic_agreement_coefficient(df, x, y)$.estimate
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_unsystematic_agreement_coefficient_vec(x, y),
ww_unsystematic_agreement_coefficient(df, x, y)$.estimate
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_systematic_mpd_vec(x, y),
ww_systematic_mpd(df, x, y)$.estimate
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_unsystematic_mpd_vec(x, y),
ww_unsystematic_mpd(df, x, y)$.estimate
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_systematic_rmpd_vec(x, y),
ww_systematic_rmpd(df, x, y)$.estimate
)
#' @srrstats {G3.0} Testing with appropriate tolerances.
#' @srrstats {G5.4c} Testing data is from the original paper.
expect_equal(
ww_unsystematic_rmpd_vec(x, y),
ww_unsystematic_rmpd(df, x, y)$.estimate
)
})
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