Skip to main content

Beta This lesson is in the beta phase, which means that it is ready for teaching by instructors outside of the original author team.

R-toolbox

R-toolbox
Key Points
Instructor Notes
Extract All Images

Search the All In One page

Learner View

EPISODES

Summary and Schedule

1. Reproducible Data Analysis

2. Reading data from file

3. Descriptive Statistics

4. Histograms

5. Table One

6. Table One - gt

7. Tidy Data

8. The normal distribution

9. Testing for normality

10. How is the data distributed?

11. Linear regression

12. Multiple Linear Regression

13. LASSO regularisation

14. Logistic regression

15. Central Limit Theorem

16. Nicer barcharts

17. Power Calculations

18. k-means

19. ANOVA

20. Cohens Kappa

21. R on UCloud

22. Parallellization in R

23. A deeper dive into pipes

24. Setup for GIS

25. Setup for Git

26. Introduction to Git(Hub)

27. Practice makes perfect

28. Statistical tests

29. When install.packages fail

30. Extracting tiff-layers

31. Fences på vores undervisningssider

32. Make a new course

33. Checkliste

Key Points
Instructor Notes
Extract All Images

CLT - på dansk
CLT - in english
Data sets
Reference

See all in one page

Previous

Reference

Last updated on 2026-06-15 | Edit this page

Glossary

This is a placeholder file. Please add content here.

Previous

This lesson is subject to the Code of Conduct

Edit on GitHub | Contributing | Source

Cite | Contact | About

Materials licensed under CC BY-NC-SA 4.0 by the authors

Template licensed under CC-BY 4.0 by The Carpentries

Built with sandpaper (0.20.2), pegboard (0.7.9), and varnish (1.1.1)