Syllabus database for doctoral courses

  • Syllabus database for doctoral courses


Swedish title Introduktionskurs i R
English title Introduction to R
Course number 2958
Credits 1.5
Responsible KI department Institutionen för medicinsk epidemiologi och biostatistik
Specific entry requirements Biostatistics I: Introduction for epidemiologists or corresponding courses.
Grading Passed /Not passed
Established by The Board of Doctoral Education
Established 2016-09-08
Purpose of the course The purpose of this course is to introduce students to using the R statistical software to perform basic to intermediate statistical data analysis in a replicable manner.
Intended learning outcomes After successfully completing this course, students are expected to be able to:
- explain basic concepts of the R language and environment, the online- and offline sources of documentation for R, and basic concepts of data management and workflow in a standard statistical analysis,
- run a standard statistical analysis interactively within the R environment,
- formalize and document such a standard analysis as a stand-alone R script,
- produce graphical representations, as part of reporting their analysis,
- interpret their scripts for potential simplifications via functional implementation,
- find, install and compare extension packages for unfamiliar statistical applications.
Contents of the course The course will cover the basic elements of a standard statistical workflow: reading data into R; pre-processing and quality assessment of data via numerical and graphical methods; descriptive statistics via summary measures, tabulations and graphics; basic statistical inference in terms of significance testing and confidence intervals; specification, fitting & diagnosis of regression models; exporting and reporting results from the previous steps.

The course includes an introduction to the Rstudio integrated development environment to provide a common framework for interactive and scripted analysis. The extensibility of the R system will be demonstrated by example.
Teaching and learning activities Course days will be organized around a common theme, with concepts and background covered in the mornings via presentations, demos, in-class exercises and discussions, and practical application via individual and small-group lab exercises in the afternoons. Formative assessment will be integrated via in-class quizzes and lab reviews.
Compulsory elements The individual examination (summative assessment) is compulsory.
Examination Students will perform an open-book examination based on practical application of the concepts presented during the course to realistic data sets and problems.

Students who do not pass the examination will be offered a second examination within two months from the end of the course (excluding academic holidays).
Literature and other teaching material 1. Lecture notes and code examples as provided by the course
2. Official R manuals and documentation available within the software
3. Selected material from the contributed documentation available from the Complete R Archive Network at
Course responsible Alexander Ploner
Institutionen för medicinsk epidemiologi och biostatistik

Contact person Gunilla Nilsson Roos
Institutionen för medicinsk epidemiologi och biostatistik
08-524 822 93