compute_compet_distance: Compute trait distance between species

In Rekyt/fdcoexist: Multi-Species Trait-Based Coexistence Model in Discrete time

Compute trait distance between species

Description

This function compute trait distance between species using a trait matrix and a trait weights data.frame. For all the traits with competition weights not equal to zero, it computes a weighted 'composite trait' that is then used to compute euclidean trait distance between species. Trait distance is first exponentiated then standardized between 0 and 1.

Usage

compute_compet_distance(trait_weights, traits, exponent = 1)

Arguments

trait_weights	data.frame with at least three columns equal to trait (giving the name of the concerned traits in traits df), growth_weight the relative weight of the trait in growth and compet_weight the relative weight of the trait in competition.
traits	a species-traits data.frame with species as rownames and traits as numeric columns with names matching trait_weights column trait
exponent	[numeric(1)] (default: 1) The exponent used before standardizing the distance

Value

an euclidean distance matrix (of type matrix)

Rekyt/fdcoexist documentation built on Oct. 16, 2022, 10:27 a.m.