# ungrouped rankings (5 rankings, 4 items)
R <- as.rankings(matrix(c(1, 2, 0, 0,
0, 2, 1, 0,
0, 0, 1, 2,
2, 1, 0, 0,
0, 1, 2, 3), ncol = 4, byrow = TRUE))
R <- as.rankings(R)
# grouped rankings (1st 3 from group 1, next 2 from group 2)
G <- group(R, c(1, 1, 1, 2, 2))
test_that("].grouped_rankings allows replicates [fake partial rankings]", {
out <- paste0(
' 1 2 3 \n',
' "2 > 1, 2 > 3 > 4" "1 > 2, 3 > 2, 3 > 4" "1 > 2, 3 > 2, 3 > 4" ')
expect_output(print(G[c(2, 1, 1)], max = 3), out)
})
# conversion of paircomp
if (require(psychotools)){
pc <- paircomp(rbind(
c(1, 1, 1), # a > b, a > c, b > c
c(1, 1, -1), # a > b, a > c, b < c
c(1, -1, -1), # a > b, a < c, b < c
c(1, 1, 1)))
res <- as.grouped_rankings(pc)
R <- matrix(c(1, 2, 0,
1, 2, 0,
1, 2, 0,
1, 2, 0,
1, 0, 2,
1, 0, 2,
2, 0, 1,
1, 0, 2,
0, 1, 2,
0, 2, 1,
0, 2, 1,
0, 1, 2), ncol = 3, byrow = TRUE)
colnames(R) <- letters[1:3]
R <- as.rankings(R)
res2 <- group(R, rep(1:4, 3))
expect_equal(res, res2)
}
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