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Introduction to R, databases and reproducibility for AMR Epidemiologists
Introduction to R, databases and reproducibility for AMR Epidemiologists
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Introduction to R, databases and reproducibility for AMR Epidemiologists
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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. Subsetting Data
7. Creating Publication-Quality Graphics with ggplot2
8. Writing Data
9. Data Frame Manipulation with dplyr
10. Data Frame Manipulation with tidyr
11. Basic Statistics: describing, modelling and reporting
12. Logistic Regression
13. Broom
14. Producing Reports With Quarto
15. Best Practices for Writing R Code
16. Introduction to Reproducibility
17. Automated Version Control
18. Setting Up Git
19. Creating a Repository
20. Tracking Changes
21. Exploring History
22. Ignoring Things
23. Remotes in GitHub
24. Collaborating
25. Conflicts
26. Branches
27. Issues
28. Open Science
29. Licensing
30. Citation
31. Hosting
32. SQL and R
33. Writing Good Software
34. Supplemental - Assumption Diagnostics and Regression Trouble Shooting
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