timotheenivalis/Rcode-Stats-Bubbles

Here is the material for a workshop series about biostatistics in R. Topics will include data management, a lot of (generalized) linear (mixed) models, bayesian and frequentist principles, simulations, multi-model inference... or whatever you ask me for

Rcode-Stats-Bubbles

This is the 2017-2018 Website. The material for the current workshop series is here.

Let's play with some bubbles of biological statistics in R.

Navigate the different topics with the folders above, or with the following links:

• 0. Install R and RStudio
• 1. Basic introduction to R
• 2. Warming-up: the mean
• 3. Statistical inference and linear models
• 4. What on earth is going on with my linear models: diagnostics, fixes, interpretation
• 5. Keep tidy data, install packages, use dlypr and other tidyverse packages
• 6. Linear models: Multiple regression and interactions
• 7. Meta-analysis with Metafor
• 8. Structural Equation Modeling
• 9. Generalized Linear Models (GLMs)
• 10. Power analysis and mixed models
• 11. Linear mixed models
• 12. Linear mixed models