Introduction to the R statistical package WF-PS-N-WPSR
R is a programming language and a large, constantly developed project that allows users from all over the world to perform both simple and complex statistical analyses using free software. Currently, R is one of the statistical programs most frequently used in psychology. It is particularly useful for people conducting research activity, not only because it offers a wide range of analyses, but also because of their transparency, which is now very important in the scientific world.
In the R program, statistical analyses are performed using functions written in the R programming language.
The course is addressed to people who consider starting doctoral studies, as well as students who want to develop their statistical competences. Please remember that after graduation, you will lose access to the paid IBM SPSS Statistics software currently provided by the University. The ability to use the R program will allow you to continue your adventure with statistics also after graduation (there are also other free statistical programs that do not require the use of a programming language - selected free programs will be presented during classes as well).
The aim of the course is to familiarize you with the R program, which requires the use of a programming language. Classes are planned as a gentle introduction - no experience with R or any other programming language required. They are to help you feel comfortable with this form of conducting analyses, prepare you to expand your analytical repertoire and make you cautious about R-related dangers. The basic statistical knowledge will be appreciated (understanding the analyses from the curriculum, not the ability to conduct them in SPSS).
(in Polish) E-Learning
(in Polish) Grupa przedmiotów ogólnouczenianych
Subject level
Learning outcome code/codes
Type of subject
Course coordinators
Learning outcomes
Learning outcomes:
- student knows the basics of the R programming language syntax
- student knows the basic commands in R
- student is able to import datasets and perform statistical analyses in R and R-Studio
- student is able to solve problems that arise while working with R
Description of the workload:
- participation in classes: 15h
- preparation for classes: 7h
- exercises/homework: 15h
- essay: 20h
Assessment criteria
Engagement in classes, essay
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: