Description Usage Arguments Value

Given a lower triangular similarity matrix, construct a distance matrix where the rows are the ranks of the column cases with respect to similarity to the row case. If relative similarity is of interest, this rank-transformation may reduce bias in favour of high similarity scores in downstream analysis.

1 | ```
get_similarity_rank_matrix(similarity_matrix, symmetric = TRUE)
``` |

`similarity_matrix` |
Lower triangular numeric matrix of similarities, where the rownames and colnames are identical to the case IDs. |

`symmetric` |
Logical value determining whether to ‘symmetrify’ resultant matrix by averaging rank similarity of A -> B and B -> A. |

Matrix of rank similarities.

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