Skip to main content

R for Reproducible Scientific Analysis

R for Reproducible Scientific Analysis
Key Points
Instructor Notes
Extract All Images
- Discussion
- Reference

R for Reproducible Scientific Analysis

NA%

Learner View

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. 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
Instructor Notes
Extract All Images

Discussion
Reference

See all in one page

Previous Next

Discussion

Last updated on 2023-11-21 | Edit this page

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

Previous Next

This lesson is subject to the Code of Conduct

Edit on GitHub | Contributing | Source

Cite | Contact | About

Materials licensed under CC-BY 4.0 by the authors

Template licensed under CC-BY 4.0 by The Carpentries

Built with sandpaper (0.15.0), pegboard (0.7.3), and varnish (0.4.0).