POLb1147 Introduction to Statistics in R

Faculty of Social Studies
Autumn 2024

The course is not taught in Autumn 2024

Extent and Intensity
0/2/0. 4 credit(s). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
doc. Mgr. Peter Spáč, Ph.D. (lecturer)
Guaranteed by
doc. Mgr. Peter Spáč, Ph.D.
Department of Political Science – Faculty of Social Studies
Contact Person: Mgr. Lucie Pospíšilová
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 15 student(s).
Current registration and enrolment status: enrolled: 0/15, only registered: 0/15, only registered with preference (fields directly associated with the programme): 0/15
fields of study / plans the course is directly associated with
there are 29 fields of study the course is directly associated with, display
Course objectives
This course pursues on gradual expansion of teaching of quantitative research. Its aim is to introduce students with the R program, which is used in the field of science for basic as well as very advanced data analysis techniques. No previous experience with R is required to complete the course, but it is desirable that students have an overview of the basic terms used in the methodology (research questions, hypotheses, variables, operationalization, etc.). The course will provide students with two areas of knowledge. First, students will gain a basic orientation in the R program and learn to use its functions. Second, students will be able to implement selected statistical operations in the R program, which they will use in the further course of study and in writing their final theses.
Learning outcomes
Students will know how to:
- use the R program and its functions
- analyse data
- understand, explain, and visualize their findings
Syllabus
  • 1. Course introduction
    2. Introduction to R – basics in R
    3. Introduction to R – variables, datasets, objects
    4. Introduction to R – basics in data operations
    5. Descriptive statistics
    6. Associations between the variables
    7. Analysis of data in experimental research
    8. Introduction to regression analysis
    9. Further options of data analysis
Literature
  • SCHUMACKER, Randall E. Learning statistics using R. Los Angeles: Sage, 2015, xxiii, 623. ISBN 9781452286297. info
  • FIELD, Andy P., Jeremy MILES and Zoë FIELD. Discovering statistics using R. First published. Los Angeles: Sage, 2012, xxxiv, 957. ISBN 9781446200452. info
Teaching methods
Lectures and seminars
Assessment methods
Seminar assignments and final examination
Language of instruction
Czech
Further Comments
The course is taught once in two years.
The course is taught: every week.
  • Permalink: https://is.muni.cz/course/fss/autumn2024/POLb1147