Veronika Batzdorfer veronika.batzdorfer@kit.edu
The open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. After providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting.
- prior experience with quantitative data analysis, basic statistics, and regression
- experience with using other statistical packages (e.g., SPSS or Python) is helpful, but not a requirement
By the end of the course participants should be:
- Comfortable with using
Rand RStudio - Able to import, wrangle, and explore their data with
R - Able to conduct basic visualizations and analyses of their data with
R - Able to generate reproducible research reports using
R Markdown
| Day | Time | Topic |
|---|---|---|
| Wednesday | 12:00 - 13:00 | Onboarding & Getting Started with R |
| Wednesday | 13:00 - 13:15 | Break |
| Wednesday | 13:15 - 14:30 | Data Types & Loading |
| Wednesday | 14:30 - 14:45 | Break |
| Wednesday | 14:45 - 16:00 | Data Workflows & Wrangling |
| Wednesday | 16:00 - 16:45 | Open Trouble Shooting Session |
| Day | Time | Topic |
|---|---|---|
| Thursday | 12:00 - 13:00 | Data Wrangling |
| Thursday | 13:00 - 13:15 | Break |
| Thursday | 13:15 - 14:30 | Exploratory Data Analysis |
| Thursday | 14:30 - 14:45 | Break |
| Thursday | 14:45 - 16:00 | Relational Data |
| Thursday | 16:00 - 16:45 | Open Trouble Shooting Session |
| Day | Time | Topic |
|---|---|---|
| Friday | 12:00 - 13:00 | Visualization & Confirmatory Analysis |
| Friday | 13:00 - 13:15 | Break |
| Friday | 13:15 - 14:30 | Reporting with R Markdown |
| Friday | 14:30 - 14:45 | Break |
| Friday | 14:45 - 16:00 | Wrap-up (Evaluation) & Group Session |
| Friday | 16:00 - 16:45 | Open Trouble Shooting Session |