FSS:SOCb2121 Introducton to R - Course Information
SOCb2121 Introducton to R
Faculty of Social StudiesSpring 2025
- Extent and Intensity
- 0/2/0. 3 credit(s). Type of Completion: zk (examination).
In-person direct teaching - Teacher(s)
- Mgr. Ing. Tomáš Doseděl, Ph.D. (lecturer)
- Guaranteed by
- Mgr. Ing. Tomáš Doseděl, Ph.D.
Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology – Faculty of Social Studies - Prerequisites
- SOCb1018 Data Analysis I && SOCb1019 Data Analysis II
Students must have successfully completed the courses Statistical Data Analysis I and II with SPSS. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- there are 8 fields of study the course is directly associated with, display
- Course objectives
- The aim of the course is to practice statistical skills acquired in previous studies with the help of R (and R Commander). The course will no longer include theory, just practical practice of individual tasks in R.
- Learning outcomes
- using the R Commander program, basics of working with the R program
- Syllabus
- Basics of working with R/R commander
Descriptive statistics (Mean, Frequency table)
Bivariation analysis (compare means, contingency tables)
Elaboration
Correlations
Data reduction methods (factor analysis)
Statistical inference (confidence interval, t-test, ANOVA, chi-square)
Regression modelling (linear and logistic regressions)
- Basics of working with R/R commander
- Literature
- required literature
- SOUKUP, Petr, Ladislav RABUŠIC and Petr MAREŠ. Statistická analýza sociálněvědních dat v R (Statistical analysis of social science data in R). 1st ed. Brno: Masarykova univerzita, 2023, 491 pp. ISBN 978-80-280-0150-6. info
- Teaching methods
- workshops in PC lab
- Assessment methods
- Regular fulfilment of assignments
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
The course is taught: every week.
- Permalink: https://is.muni.cz/course/fss/spring2025/SOCb2121