WK-10 - Advanced multivariate analyses

Learn how to use constrained multivariate analyses!

Workshop 10: Advanced multivariate analyses in R

In this workshop, you will learn how to perform advanced multivariate analyses on community data.

This workshop concentrates on constrained methods such as redundancy analysis (RDA), multivariate regression tree (MRT) and linear discriminant analysis (LDA) to explore how environmental variables may be driving patterns in species assemblage across sites.


Material

badge License: CC BY-NC-SA 4.0

Slides Book Script
English English English
Français Français Français

Archived written material is available on our wiki (EN, FR).


Contributors

This workshop was originally developed by Monica Granados, Emmanuelle Chrétien, Bérenger Bourgeois, Amanda Winegardner and Xavier Giroux-Bougard. Material in the R script was originally derived from Borcard, Gillet & Legendre (2011). Numerical Ecology with R. Springer New York.

Since 2014, several QCBS members contributed to consistently and collaboratively develop and update this workshop, as part of the Learning and Development Award from the Québec Centre for Biodiversity Science. They were:

2022 - 2021 - 2020 2019 - 2018 - 2017 2016 - 2015 - 2014
Katherine Hébert Marie Hélène Brice Monica Granados
Gabriel Muñoz Pedro Henrique P. Braga Emmanuelle Chrétien
Pedro Henrique P. Braga Katherine Hébert Bérenger Bourgeois
Kevin Cazelles Amanda Winegardner
Marie Hélène Brice Xavier Giroux-Bougard
Vincent Fugère