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R for Reproducible Scientific Analysis

R for Reproducible Scientific Analysis
Key Points
Glossary
Learner Profiles
- Discussion
- Reference

R for Reproducible Scientific Analysis

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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. Control Flow

8. Creating Publication-Quality Graphics with ggplot2

9. Vectorization

10. Functions Explained

11. Writing Data

12. Splitting and Combining Data Frames with plyr

13. Data Frame Manipulation with dplyr

14. Data Frame Manipulation with tidyr

15. Producing Reports With knitr

16. Writing Good Software

Key Points
Glossary
Learner Profiles
Discussion
Reference

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Last updated on 2023-09-10 | Edit this page

Please see our other R lesson for a different presentation of these concepts.

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