Titel | Zeit | Ort | Dozent |
---|---|---|---|
Basic R-Course | 30.06.2025 11:00 - 11:30 (Mo) | Online | Daniela Keller |
Basic R-Course | 07.07.2025 11:00 - 12:30 (Mo) | Online | Daniela Keller |
Basic R-Course | 14.07.2025 11:00 - 12:30 (Mo) | Online | Daniela Keller |
Basic R-Course | 21.07.2025 11:00 - 12:30 (Mo) | Online | Daniela Keller |
In this course you will learn to use R and Rstudio for doing statistical analysis. You will get to know the most important statistical methods, you will learn how to choose the right method for different situations and use R and Rstudio for analyzing example data with these methods.
The course will cover the following main topics:
- Introduction to R and Rstudio
- General introduction to statistics
- Descriptive statistics and graphics
- Normal distribution
- Significance tests
- Investigation of dependencies and differences
- Post-Hoc-Tests
- Factorial ANOVAs
- Linear and logistic regression
After the course you will
- have lost the fear of using R
- have learned the basic function of R
- know how to import and export raw data in R
- be able to create a descriptive and graphical overview of a data set
- be able to choose the appropriate significance test or statistical model for an available data set and research question
- be able to conduct this analysis in R and interpret the results
The course is organized with self-learning material (short videos, handout, example data and exercises) and three live and online Q&A sessions. After a short kick-off meeting you watch the videos and do the exercises at your own pace. Within an interval of one week we meet for three Q&A sessions online, where you can ask questions concerning the topics and exercises of the course or your own projects.
- losing the fear of using R
- learning the basic functionality of R
- knowing how to handle data in R
- being able to create a descriptive and graphical overview of a data set
- being able to choose the appropriate significance test or statistical model
- be able to conduct statistical analysis in R and interpret the results
Presentation of statistical background, Software tutorials, Examples, Exercises for self study, Q&A sessions, Quiz
☒ Beginn der Promotion / Beginning of the doctorate
☒ Während der Promotion / During the doctorate
☒ Endphase der Promotion / End of the doctorate
PC, laptop with R and RStudio installed (open source); internet access
Flipped classroom format. Participants must allow time for independent viewing of the videos and the exercises.