rank_conversion: Convert between ranking and ordering.

In BayesMallows: Bayesian Preference Learning with the Mallows Rank Model

Convert between ranking and ordering.

Description

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.

Usage

create_ranking(orderings)

create_ordering(rankings)

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.

Functions

• create_ranking(): Convert from ordering to ranking.

• create_ordering(): Convert from ranking to ordering.

See Also

Other rank functions: expected_dist(), get_mallows_loglik(), rank_distance(), rank_freq_distr(), 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)

# 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)

BayesMallows documentation built on Nov. 25, 2023, 5:09 p.m.