300263 Einführung in R (S) (WiSe 2022/2023)
Contents, comment
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Alternativ zu den in den Sozialwissenschaften weit verbreitet eingesetzten proprietären Statistikprogrammen (z. B. Stata, SPSS) existiert mit R eine freie Programmiersprache für statistische Berechnungen und Grafiken. Während R bspw. in der Mathematik, der Informatik und den Natur- und Wirtschaftswissenschaften häufig in der wissenschaftlichen Forschung und Ausbildung eingesetzt wird, spielt es in den Sozialwissenschaften eine eher untergeordnete Rolle.
Aufgrund der freien und kostenlosen Verfügbarkeit sowie der aktiven Nutzergemeinde, die oft für viele hochaktuelle Statistikprobleme Pakete entwickelt und Lösungen anbietet, ist R gerade für Studierende eine attraktive Alternative.
In diesem Kurs soll eine möglichst niedrigschwellige Einführung in die Nutzung von R gegeben werden.
Die Veranstaltung findet nach heutigem Kenntnisstand online über Zoom statt.
Bibliography
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Manderscheid, K. (2012): Sozialwissenschaftliche Datenanalyse mit R: Eine Einführung. Wiesbaden: VS
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 30-M-Soz-M3a Soziologische Methoden a | Seminar 1 | Study requirement
|
Student information |
| Seminar 2 | Study requirement
|
Student information | |
| - | Graded examination | Student information | |
| 30-M-Soz-M3b Soziologische Methoden b | Seminar 1 | Study requirement
|
Student information |
| Seminar 2 | Study requirement
|
Student information | |
| - | Graded examination | Student information | |
| 30-M-Soz-M3c Soziologische Methoden c | Seminar 1 | Study requirement
|
Student information |
| Seminar 2 | Study requirement
|
Student information | |
| - | 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.
E-Learning Space
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:
- Registered number: 31
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- WS2022_300263@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_363440452@ekvv.uni-bielefeld.de
- Coverage:
- 30 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 1
- Open email archive
- Last update basic details/teaching staff:
- Thursday, June 30, 2022
- Last update times:
- Monday, June 27, 2022
- Last update rooms:
- Monday, June 27, 2022
- Type(s) / SWS (hours per week per semester)
- S / 2
- Department
- Faculty of Sociology
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- Clashing dates for this course
- Links to this course
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- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=363440452
- Send page to mobile
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Scan QR code:
- ID
- 363440452