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

1 | ```
nonbimatch(mdm, threshold = NA, precision = 6, ...)
``` |

`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. |

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

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 |

Cole Beck

1 2 3 4 5 6 | ```
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)
``` |

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