bockenholtMAE5 <- matrix(c(0L, 0L, 1L,
0L, 0L, 0L,
1L, NA, NA,
0L, 1L, 0L,
0L, 1L, 1L),
byrow = TRUE, ncol = 3,
dimnames = list(1:5, c("m", "a", "e")))
bockenholtAEM6 <- matrix(c(0L, 1L, NA,
0L, 0L, 0L,
0L, 0L, 1L,
1L, 0L, 1L,
1L, 0L, 0L,
1L, 1L, NA),
byrow = TRUE, ncol = 3,
dimnames = list(1:6, c("a", "e", "m")))
plieninger5 <- matrix(c(0L, 0L, 1L, 0L,
1L, 0L, 0L, 0L,
2L, 1L, 0L, 0L,
3L, 0L, 0L, 1L,
4L, 0L, 1L, 1L),
byrow = TRUE, ncol = 4,
dimnames = list(1:5, c("i", "m", "e", "a")))
ema10m3e2 <- matrix(c(1L, NA, NA, NA, 0L, NA, NA, 0L, NA,
1L, NA, NA, NA, 0L, NA, NA, 1L, NA,
0L, 0L, 0L, NA, NA, 0L, NA, NA, NA,
0L, 0L, 0L, NA, NA, 1L, NA, NA, NA,
0L, 1L, NA, 0L, NA, NA, NA, NA, NA,
0L, 1L, NA, 1L, NA, NA, NA, NA, NA,
0L, 0L, 1L, NA, NA, NA, 0L, NA, NA,
0L, 0L, 1L, NA, NA, NA, 1L, NA, NA,
1L, NA, NA, NA, 1L, NA, NA, NA, 0L,
1L, NA, NA, NA, 1L, NA, NA, NA, 1L),
byrow = TRUE, ncol = 9,
dimnames = list(1:10, c("e", "m", "a1", "a2", "a3",
"i1", "i2", "i3", "i4")))
ema10m3e2common <- matrix(c(1L, NA, 0L, 0L,
1L, NA, 0L, 1L,
0L, 0L, 0L, 0L,
0L, 0L, 0L, 1L,
0L, 1L, 0L, NA,
0L, 1L, 1L, NA,
0L, 0L, 1L, 0L,
0L, 0L, 1L, 1L,
1L, NA, 1L, 0L,
1L, NA, 1L, 1L),
byrow = TRUE, ncol = 4,
dimnames = list(1:10, c("e", "m", "a", "i")))
mae9rm3e2 <- matrix(c(0L, 0L, NA, 1L, 1L, NA, NA,
0L, 0L, NA, 1L, 0L, NA, NA,
0L, 0L, NA, 0L, NA, NA, NA,
1L, NA, 0L, NA, NA, NA, 1L,
1L, NA, 0L, NA, NA, NA, 0L,
1L, NA, 1L, NA, NA, NA, NA,
0L, 1L, NA, 0L, NA, NA, NA,
0L, 1L, NA, 1L, NA, 1L, NA,
0L, 1L, NA, 1L, NA, 0L, NA),
byrow = TRUE, ncol = 7,
dimnames = list(1:9, c("m", "a1", "a2", "e",
"i1", "i2", "i3")))
test_that("", {
expect_identical(make_scoring_matrix_aem(5, "mae"), bockenholtMAE5)
expect_identical(make_scoring_matrix_aem(6, "aem"), bockenholtAEM6)
expect_identical(make_scoring_matrix_aem(5, "gpcm"), plieninger5)
expect_identical(make_scoring_matrix_aem(10, "ema", nMiddle = 3,
nExtreme = 2), ema10m3e2)
expect_identical(make_scoring_matrix_aem(10, "ema", nMiddle = 3,
nExtreme = 2, aType = "common",
iType = "common"), ema10m3e2common)
expect_identical(make_scoring_matrix_aem(9, "mae", nMiddle = 3, nExtreme = 2,
reversed = TRUE), mae9rm3e2)
})
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