Skip to main content
Light
Dark
Auto
Learner View
Instructor View
Menu
Introduction to R, databases and reproducibility for AMR Epidemiologists
Introduction to R, databases and reproducibility for AMR Epidemiologists
Key Points
Glossary
Learner Profiles
More
Discussion
Reference
Search the All In One page
Introduction to R, databases and reproducibility for AMR Epidemiologists
Toggle Theme
Light
Dark
Auto
Learner View
Instructor View
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. SQL and R
16. Best Practices for Writing R Code
17. Introduction to Reproducibility
18. Writing Good Software
19. Supplemental - Assumption Diagnostics and Regression Trouble Shooting
RESOURCES
Key Points
Glossary
Learner Profiles
Discussion
Reference
See all in one page
Learner Profiles
This is a placeholder file. Please add content here.
Back
To Top
