Rest of Book
Preliminary material
Section I: Introduction to R.
1. Getting Started with R: Functions and vectors // Loading packages and data // Data types // RStudio orientation // Summary of Chapter 1.
2. Working with data in R: Adding variables // Selecting variables // Summarizing variables // Choosing rows // Summary of Working with Data in R.
3. Intro to ggplot: One continuous variable // Saving ggplots // Continuous and categorical // Two categorical variables // Two continuous variables // Many explanatory variables // Summary of Intro to ggplot.
4. Reproducible science: Collecting data // Reproducible analyses // Summary of Reproducible Science.
Second Section: Summarizing Data
5. Univariate Summaries: Summarizing shape // Changing shape // Summarizing center // Summarizing variability // Summary of Summaries.
6. Associations: Categorical vs. continuous // Two categorical variables // Two continuous variables // Summary of Associations.
7. Linear Models: Mean as a model // Categorical predictors // Regression // Two predictors // Summary of Desciptive Linear Modelling.