create_ranking takes a vector or matrix of ordered items orderings and
returns a corresponding vector or matrix of ranked items.
create_ordering takes a vector or matrix of rankings rankings and
returns a corresponding vector or matrix of ordered items.
Arguments
- orderings
A vector or matrix of ordered items. If a matrix, it should be of size N times n, where N is the number of samples and n is the number of items.
- rankings
A vector or matrix of ranked items. If a matrix, it should be N times n, where N is the number of samples and n is the number of items.
Value
A vector or matrix of rankings. Missing orderings coded as NA are propagated into corresponding missing ranks and vice versa.
See also
Other rank functions:
compute_expected_distance(),
compute_observation_frequency(),
compute_rank_distance(),
get_mallows_loglik(),
sample_mallows()
Examples
# A vector of ordered items.
orderings <- c(5, 1, 2, 4, 3)
# Get ranks
rankings <- create_ranking(orderings)
# rankings is c(2, 3, 5, 4, 1)
# Finally we convert it backed to an ordering.
orderings_2 <- create_ordering(rankings)
# Confirm that we get back what we had
all.equal(orderings, orderings_2)
#> [1] TRUE
# Next, we have a matrix with N = 19 samples
# and n = 4 items
set.seed(21)
N <- 10
n <- 4
orderings <- t(replicate(N, sample.int(n)))
# Convert the ordering to ranking
rankings <- create_ranking(orderings)
# Now we try to convert it back to an ordering.
orderings_2 <- create_ordering(rankings)
# Confirm that we get back what we had
all.equal(orderings, orderings_2)
#> [1] TRUE