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R for AMR Epidemiology
R for AMR Epidemiology
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R for AMR Epidemiology
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EPISODES
Summary and Setup
1. Introduction to R and RStudio
2. Project Management With RStudio
3. Seeking Help
4. Data Structures
5. Exploring Data Frames
6. Navigating Files and Directories
7. Automated Version Control
8. Setting Up Git
9. Creating a Repository
10. Tracking Changes
11. Exploring History
12. Ignoring Things
13. Supplemental: Using Git from RStudio
14. Subsetting Data
15. Creating Publication-Quality Graphics with ggplot2
16. Writing Data
17. Remotes in GitHub
18. Collaborating
19. Conflicts
20. Data Frame Manipulation with dplyr
21. Data Frame Manipulation with tidyr
22. Producing Reports With Quarto
23. Basic Statistics: describing, modelling and reporting
24. Linear regression and Broom
25. Assumption Diagnostics and Regression Trouble Shooting
26. Logistic Regression
27. SQL and R
28. Writing Good Software
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