TILS4100 Advanced R (4 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
English
Responsible organisation:
Department of Mathematics and Statistics
Curriculum periods:
2024-2025, 2025-2026, 2026-2027, 2027-2028
Description
The course provides students with a deeper understanding of using R for data analysis and statistical programming. Topics considered in the course are
- R data structures and subsetting
- functions in R
- Plotting using R
- Rmarkdown
- Debugging and profiling R code
- Introduction to Shiny
- Introduction to the tidyverse
Learning outcomes
Upon successfully completing the course, students will:
- Be able to use R efficiently for data analysis.
- Be able to write own efficient R functions
- Produce statistical reports using Rmarkdown
- Write some basic web application using R
Description of prerequisites
Students taking this course are expected to have a basic knowledge of statistics, especially linear models. Some knowledge about linear algebra is expected too.
Knowledge of LaTeX is beneficial but not compulsory.
Completion methods
Method 1
Evaluation criteria:
Attendance at teaching sessions, doing exercises and final assignments.
Select all marked parts
Parts of the completion methods
x
Participation in teaching (4 cr)
Type:
Participation in teaching
Grading scale:
0-5
Language:
English