QCBS R Symposium Workshop Archive

The QCBS R Symposium provides an opportunity for teaching and participation in a series of contributed R workshops about the application of biodiversity science analyses using R that are not offered during the annual QCBS R Workshop Series.

Basics of effective and reproducible data visualization
Basics of effective and reproducible data visualization

by Tania Maxwell

Beta diversity in space and time
Beta diversity in space and time

by Vincent Fugère and Katrine Turgeon

eDNA metabarcoding
eDNA metabarcoding

by Alexis Carteron and Simon Morvan

Geospatial analyses and cartography with R
Geospatial analyses and cartography with R

by Marie-Hélène Brice

Intro to gene expression analysis in R
Intro to gene expression analysis in R

by Sébastien Renaut

Introduction to GitHub and GitHub Actions
Introduction to GitHub and GitHub Actions

by Pedro Henrique P. Braga & Katherine Hébert

Joint Modelling
Joint Modelling

by Guillaume Blanchet

Linking community ecology and evolutionary biology to your programming skills
Linking community ecology and evolutionary biology to your programming skills

by Pedro Henrique P. Braga and Katherine Hébert

Mining species-level biodiversity information from published literature
Mining species-level biodiversity information from published literature

by Gabriel Muñoz

Occupancy Modelling
Occupancy Modelling

by Clara Casabona i Amat

Open Science and Reproducibility in R
Open Science and Reproducibility in R

by Monica Granados

Phylogenetic Comparative Methods in R
Phylogenetic Comparative Methods in R

by Pedro Henrique P. Braga

Predicting species geographical distribution using R
Predicting species geographical distribution using R

by Pedro Henrique P. Braga and Julia Nordlund

Shiny Web Apps for Communicating Science
Shiny Web Apps for Communicating Science

by Jake Lawlor

Simulations in R
Simulations in R

by Marc-Olivier Beausoleil

Structural equation modelling and ecological inference
Structural equation modelling and ecological inference

by Nicole Knight

Survival analyses with R
Survival analyses with R

by Julie Landes

Touchdown your research!
Touchdown your research!

by Steve Vissault and Marie-Hélène Brice

You are probably more Bayesian than you think
You are probably more Bayesian than you think

by Max Farrell and Marc-Olivier Beausoleil