Course description
The course is practical and aims at teaching students how to:
- Use the programming environment R and RStudio, which includes installation, how to handle errors, problem solve and access helper documents.
- Use basic concepts of programming, such as data types, logical and arithmetic operators, if else conditions, loops and functions.
- Use common R packages to perform basic statistical analysis (e.g., t-test, chi2-test, correlation) and visual presentation (e.g., boxplot, histogram and heat-map) of data in R.
The course is structured with the intent to gradually make students more autonomous in writing code. Starting by introducing a concept through a lecture, then providing formative quizzes and tasks relateed to the concept. This all leads up to a project (exam) where the student gets to combine multiple concepts into a project with the intent of solving a certain problem or displaying specific statistical tests of visual components.
Prerequisites and Selection
Prerequisite courses, or equivalent
No prerequisite courses, or equivalent, demanded for this course.
Selection
Selection will be based on:
1) the relevance of the course syllabus for the applicant’s individual study plan/research (according to written motivation).
2) start date of doctoral studies (priority given to earlier start date).
Course director
Billy Langlet
Course syllabus
H7F5300
Department
Department of Medicine, Huddinge
Doctoral programme
**Not within a doctoral programme
Type of course
Statistics Software
Keywords
programming, R, RStudio, RMarkdown, basic, programmering