DXE_EREC Essentials of R for Econometrics

Faculty of Economics and Administration
Autumn 2022
Extent and Intensity
0/5/0. 1 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. Ing. Štěpán Mikula, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Štěpán Mikula, Ph.D.
Department of Economics – Faculty of Economics and Administration
Supplier department: Department of Economics – Faculty of Economics and Administration
Timetable
Fri 21. 10. 9:00–11:00 S313, 13:00–15:00 S313
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
there are 26 fields of study the course is directly associated with, display
Course objectives (in Czech)
The course is designed for PhD students of the Econometrics course who have zero experience with R or programming in general. The course provides an overview of essential concepts that are necessary for learning Econometrics in R.
Learning outcomes (in Czech)
After completing the course, a student will be able:
- to read simple R codes and understand basic concepts;
- to load/read data clean data;
- to conduct simple econometric analysis;
- to continue studying R
Syllabus (in Czech)
  • - R and RStudio/Posit IDE
  • - Workspace and variables
  • - Installing/loading packages
  • - Scripts
  • - Basic data types and classes
  • - Loading/reading data
  • - Formulas
  • - Estimation functions (lm(), and feols() from fixest package)
Literature
    required literature
  • WICKHAM, Hadley and Garrett GROLEMUND. R for data science : import, tidy, transform, visualize, and model data. First edition. Sebastopol, CA: O'Reilly, 2016, xxv, 492. ISBN 9781491910399. info
Teaching methods (in Czech)
Lecture and class demonstrations/discussions
Assessment methods (in Czech)
Attendance and active participation in classes
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2022, recent)
  • Permalink: https://is.muni.cz/course/econ/autumn2022/DXE_EREC