nonbimatch: Nonbipartite Matching

In nbpMatching: Functions for Optimal Non-Bipartite Matching

Nonbipartite Matching

Description

The nonbinmatch function creates the set of pairwise matches that minimizes the sum of distances between the pairs.

Usage

nonbimatch(mdm, threshold = NA, precision = 6, ...)

Arguments

mdm	A distancematrix object. See the distancematrix function.
threshold	An numeric value, indicating the distance needed to create chameleon matches.
precision	The largest value in the matrix will have at most this many digits. The default value is six.
...	Additional arguments, these are not used.

Details

The nonbinmatch function calls the Fortran code (Derigs) and set of pairwise matches that minimizes the sum of distances between the pairs.

Value

nonbimatch S4 object with several elements

matches	data.frame containing matches
halves	data.frame containing each match
total	sum of the distances across all pairs
mean	mean distance for each pair

Author(s)

Cole Beck

See Also

distancematrix

Examples

plainmatrix<-as.matrix(dist(sample(1:25, 8, replace=TRUE)))
diag(plainmatrix) <- 99999  # setting diagonal to an infinite distance for
                           # pedagogical reasons (the diagonal may be left
                           # as zero)
mdm<-distancematrix(plainmatrix)
res<-nonbimatch(mdm)

nbpMatching documentation built on Aug. 19, 2023, 1:08 a.m.