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RTCC (version 0.1.1)

Detecting Trait Clustering in Environmental Gradients

Description

The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019, ) is a statistical approach which allows to determine whether if an observed trait clustering pattern is related to an increasing environmental constrain. The method 1) determines whether exists or not a trait clustering on the sampled communities and 2) assess if the observed clustering signal is related or not to an increasing environmental constrain along an environmental gradient. Also, when the effect of the environmental gradient is not linear, allows to determine consistent thresholds on the community assembly based on trait-values.

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Version

Install

install.packages('RTCC')

Monthly Downloads

168

Version

0.1.1

License

GPL-3

Maintainer

Mateu Menendez-Serra

Last Published

June 12th, 2020

Functions in RTCC (0.1.1)

rtcc3

Clustering signal significance.
rtcc1

Trait selection
group_information

Genomic data linked to saline lagoons.
rtcc2

Clustering signal along an environmental gradient
RTCC

RTCC: Detecting trait clustering in environmental gradients with the Randomized Trait Community Clustering method
metadata

Salinity values of saline lagoons.
table_presence_absence

Genome presence-absence data of 136 saline lagoons.