WK-09 - Multivariate analyses

Learn how to use unconstrained multivariate analyses!

Workshop 9: Multivariate analyses in R

In this workshop, you will learn the basics of multivariate analyses that will allow you to reveal patterns in your community composition data.

You will first learn to choose appropriate distance metrics and transformations to then perform various multivariate analyses: clustering analysis, Principal Component Analysis (PCA), Principal Coordinate Analysis (PCoA) and Non-Metric MultiDimensional Scaling (NMDS).


Material

badge License: CC BY-NC-SA 4.0

Slides Book Script* Wiki**
English English English English
Français Français Français Français

Thank you for your patience as we make the following changes:
* The script and book for this workshop are under construction.
** The wiki for this workshop is deprecated, and will be replaced by the book.

Contributors

This workshop was originally developed by Bérenger Bourgeois, Xavier Giroux-Bougard, Amanda Winegardner, Emmanuelle Chrétien and Monica Granados. 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
Pedro Henrique P. Braga Gabriel Muñoz Monica Granados
Katherine Hébert Marie Hélène-Brice Emmanuelle Chrétien
Mi Lin Pedro Henrique P. Braga Bérenger Bourgeois
Linley Sherin Amanda Winegardner
Xavier Giroux-Bougard
Vincent Fugère
Zofia Taranu