• Offered to both undergraduate and graduate students in english and french
• Prerequisite:
  • an introduction class to statisticis is good to have
  • No (or limited) knowledge of R and no (or limited) knowledge of stats expected.
• BIO4158 english (Course site / Course manual)
• BIO4558 french (Course site / Course manual)

• Bilingual course for graduate students

• Prerequisite:

  • a functional knowledge of R (loading data, running basic linear models, and making plots)
  • a good understanding of linear models
  • essentially Bio8940 is a great next steps after completing Bio4x58.

• Course site / Course manual

As Part of my service, I provide statistical consulting. Please just contact me to book an appointment to discuss your stat problems.

Please bring with you (or send me in advance):

• your data
• your R code (should at least load the data into R)
• a clear working hypothesis

Statistical consulting does not mean that you have to add me as a co-author. I just ask that you add me to the “Acknowledgements” of your thesis and manuscript/article. Repeated consulting on the same problem and my implication on developing project specific coding/analysis might lead to co-authorship, but this usually all comes naturally and is always discussed openly with the student(s) and PI(s). As yet, I have never requested to become a co-author and I was offered co-authorship for 3 manuscripts over > 50 projects discussed.

This is an introduction to statistics with R book with a multilingual approach. The book is covering an introduction to the basic use of R (data loading, wrangling and plotting), as well as programming, use of github and R markdown /Quarto with R Studio and VS code. In terms of statistics, the book is covering linear models, glm, mixed models gams, multivariate analysis and bayesian approach.

The book (still under development) is available in English and French. I will add more languages later this year hopefully with help of volunteers.

The book is tutorial on how to fit an animal model using multiple R packages. This is essentially an updated and extended version of the tutorials from “An ecologist guide to animal model” paper by Wilson et al. (2010).