dist2sim: Distance to similarity

In rdiversity: Measurement and Partitioning of Similarity-Sensitive Biodiversity

Distance to similarity

Description

Converts distance objects into similarity objects.

Usage

dist2sim(dist, transform, k = 1, normalise = TRUE, max_d)

Arguments

dist	object of class distance
transform	object of class character, can be either "linear" or "exponential"
k	scaling parameter
normalise	object of class logical, which when TRUE will normalise distances to one
max_d	object of class numeric

Details

Distances can be transformed either *linearly* or *exponentially*. That is 1 - k * dist for non-negative values, or exp(-k * dist), respectively. If normalise is true, then dist = dist/max_d.

Value

dist2sim(x) returns an object of class similarity.

rdiversity documentation built on May 6, 2022, 9:06 a.m.