Home
Sessions
- Day 1
- Introduction to RStudio
- Introduction to R
- Data frames & tibbles
- Import and Export Data
- Common R errors
- Good practice coding
- Day 2
- Data visualization with ggplot2
- Data transformation with dplyr
- Day 3
- Tidy data with tidyr
- Statistical tests
- Quarto
- AI Tools
- Day 4
- Bring Your Own Data
Preparations
Resources

- Source Code
- Report an Issue

On this page

Resources

Edit this page
Report an issue

Tables in R - Data frames and tibbles

Slides in full screen | Download PDF slides

Exercises

Go to the task page for the exercises.

Resources

Tibble package documentation: Reference for tibble functions and differences to data frames.
Tibbles in Advanced R: Detailed explanation of how tibbles differ from data frames.

Copyright 2026, Selina Baldauf | Contact: selina.baldauf@fu-berlin.de

Edit this page
Report an issue