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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 Schedule

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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Last updated on 2024-12-04 | Edit this page

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