Data Analysis
The following sections discuss and provide examples of a variety of analyses that can be conducted in R, ranging from simple approaches (e.g., t-tests, ANOVA), to more complex analyses (e.g., hierarchical modeling, Bayesian methods). In addition, useful notes regarding statistics and probability are included for the interested reader.
Table of contents
- Descriptive statistics
- Plotting data
- Non-parametric methods
- Simple comparisons
- Regression
- Generalized linear models (GLMs)