summarize_dmat: Summarize distance matrix

In philliplab/yasss: Yet Another Short Sequence Simulator

Description

Summarizes a distance matrix into a basic set of metrics. The full list of metrics is described in the section detailing the return value of this function. Additionally, the distance matrix is divided into two clusters using the clara function. Using this clustering, the within and between cluster distances are computed and added into the final result.

Usage

summarize_dmat(dmat)

Arguments

dmat	A distance matrix, or any set of observations from a distribution really. @export

Value

A list with the following elements:

• avg_hd The average of the pairwise distances in the distance matrix.

• sd_hd The standard deviation of the pairwise distances in the distance matrix.

• perc The percentiles of the distribution of the pairwise distances.

• dens The result obtained when calling density on the distribution.

• clara2 The summary of the metrics related to the clustering of the distance matrix.

philliplab/yasss documentation built on Sept. 7, 2020, 3:28 p.m.