Basic R programming, 4HP

Prerequisites: 

Admitted to a postgraduate program. The course is suitable for all graduate students. No programming experience is required, but students are recommended to possess knowledge in basic mathematical statistics.

Objective: 

The aim of the course is to provide basic knowledge of the R language and on the skills of writing R scripts for practical applications. The course will focus on the core of R programming language, and data manipulation with R.

Upon completion of the course the student should be able to:

- master the basic knowledge of R language,

- master functions commonly used for data manipulation,

- generate basic descriptive statistics, conduct a simple multiple linear regression analysis and specification test, and

- produce different types of data plot.

The course consists of lectures, computer exercises and self-study.

Content:

The course begins with an orientation connected to the following concepts:

• What is R and what can R do?
• An IDE (Integrated Development Environment) for R

Further, the course covers programming of R, specifically:

• Data types and data structures: vector, list, matrix, data frame, factor
• Import data and write out data
• Data manipulation
• Control flow
• Write simple function
• Plot
• Regression analysis

In computer exercise, students will write R scripts to solve specific problems by using the knowledge from the lecturers. Exercise materials are provided by the lecturer.