These are interactive tutorials created using learnr. They are two practicals (3 hours each) about statistical modelling and experimental design. Functional responses are used as the example model.

1. Part 1 - Constructing a statistical model based on functional responses and predator-prey interactions. Design and conduct an experiment (Holling's disc equation experiment)
2. Part 2 - Analyse data collected in Part 1 using multiple linear regression. Visualise the data graphically.

These teaching materials are developed for BYU22S01 Statistics and Computation, Trinity College Dublin, Ireland and provided under a CC0 license. Contact Dr Jacinta Kong for queries: Email.

The tutorials require R version 4.0 or higher.

To install:

remotes::install_github("jacintak/biostats", build_vignettes = TRUE)

2023 version is 3.4

• Removed troubleshooting tips from start of Part 2. Added reminder about linearised graph.

2022 version is 3.0. Last tag v3.3.3. Built with learnr v0.11.2 (CRAN)
3.0 Updates:

• Text and question updates
• Removed simple regression and writing results paragraph
  • Integrated results into 3.0.3
• Added praise and encouragement (3.0.2)
• Simplified practical to focus on additive models (3.1.0)
• Aesthetic updates: HTML boxes, font size, em dash (3.1.1)
• Text updates and removed multiplicative regression (3.2.0)
• Removed ANOVA and some quizzes (3.3.0)
• Built with learnr v0.11.2. Vignettes notation updated (3.3.3)

2021 version is 2.0. Last tag v2.2.4. Built with learnr v0.10.1 (CRAN)

• Sometimes a trailing garbage issue (see (example)[rstudio/learnr#597]) - reinstall package is easiest solution
• HTTP error 403. API rate limit exceeded - Seems to be a GitHub access issue. No known workaround.
• Package not found/write permission denied - Check all packages are up to date and user has administrator rights. Reinstall packages if necessary.
• Try installing locally if install_github does not work

remotes::install_local(path = "<path to zip>.zip", build_vignettes = TRUE) # using zip from GitHub