/workshop10

Workshop 10 - Advanced multivariate analyses

Primary LanguageROtherNOASSERTION

QCBS R Workshop Series

This series of 10 workshops serves as a guide to use R for a wide array of statistical analyses relevant to research in biology and ecology. These open-access workshops were created by members of the QCBS both for members of the QCBS and the larger community.

The content of this workshop has been peer-reviewed by several QCBS members. If you would like to suggest modifications, please contact the current coordination team, listed here or open a pull request (see contributing guidelines at https://r.qcbs.ca/presenter-developer-protocol/developing-en.html).

Série d'ateliers R du CSBQ

Cette série de 10 ateliers servent de guide afin de maîtriser le logiciel R pour une grande variété d'analyses statistiques pertinentes en recherche en biologie et en écologie. Ces ateliers en libre accès ont été créés par des membres du CSBQ à la fois pour les membres du CSBQ et pour la grande communauté d'utilisateurs de R.

Le contenu de cet atelier a été révisé par plusieurs membres du CSBQ. Si vous souhaitez y apporter des modifications, veuillez SVP contacter l'équipe de coordination de la série, listé ici ou ouvrez un pull request (voir les instructions https://r.qcbs.ca/presenter-developer-protocol/developper-fr.html).

Workshop 10: Advanced multivariate analyses

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 in R scripts adapted from: Borcard, Gillet & Legendre (2011). Numerical Ecology with R. Springer New York.

Atelier 10: Analyses multivariées avancées

Durant cet atelier, vous apprendrez à réaliser des analyses multivariées avancées sur des données de communauté. Cet atelier se concentre sur les méthodes sous contraintes, telles que l'analyse canonique de redondances (RDA), l'arbre de régression multivarié (MRT) et l'analyse discriminante linéaire (LDA) afin d'explorer comment les variables environnementales peuvent expliquer les patrons de composition en espèces à travers différents sites.

Matériel des scripts R adapté de: Borcard, Gillet & Legendre (2011). Numerical Ecology with R. Springer New York.

Workshop materials

Language Slides Bookdown Script GitHub
EN badge badge badge badge
FR badge badge badge badge

Note: The wiki for this workshop was converted to Bookdown in March 2021.
The wiki pages for this workshop will no longer be updated (Archive: EN, FR).

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Contributions

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
Mathieu Vaillancourt Marie Hélène Brice Monica Granados
Katherine Hébert Pedro Henrique P. Braga Emmanuelle Chrétien
Pedro Henrique P. Braga Katherine Hébert Bérenger Bourgeois
Gabriel Muñoz Amanda Winegardner
Kevin Cazelles Xavier Giroux-Bougard
Marie Hélène Brice Vincent Fugère

Development status

Template

receive-from-template-and-dispatch-to-workflows

Building workshop materials

Language Slides Book
EN render-presentation-en render-book-en
FR render-presentation-fr render-book-fr