230175 Statistics using R (S) (SoSe 2025)
Contents, comment
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The course offers an introduction to data analysis using R. R is a free programming language and environment for statistical analysis.
The first part of the course focuses on introducing R syntax and project management in R. Additionally, students will learn various ways to structure and visualize data in R. The second part is dedicated to inferential statistics, with a primary focus on multivariate analytical methods such as linear regression, logistic regression and mixed effects models.
Bibliography
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Baayen, H. (2008). Analyzing Linguistic Data: A Practical Introduction to Statistics. Cambridge: CUP.
Dalgaard, P. (2008). Introductory statistics with R. Springer.
Field, A., Miles, J. & Field, Z. (2012). Discovering Statistics Using R. SAGE.
Fox, J. (2016). Applied regression analysis and generalized linear models. Sage publications.Google
Youtube
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 23-LIN-Ma2.3 Angewandte Statistik | Anwendung Statistik | Graded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Klinische Linguistik / Master | (Enrollment until SoSe 2025) | MKLI1 | 3 | unbenotet |
The seminar is less about introducing statistics and more about introducing R. For a review of statistical terms, it is highly recommended to have previously attended the module 23-LIN-Ma2.1.
- E-Learning Space
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- Address:
- SS2025_230175@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
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- Last update basic details/teaching staff:
- Wednesday, November 20, 2024
- Last update times:
- Monday, June 16, 2025
- Last update rooms:
- Monday, June 16, 2025
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Linguistics and Literary Studies
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=502661786
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