Course type: compulsory
Lecturer: Andrej Blejec, Ph.D, Full Professor

For the timeline see Curriculum.

Prerequisites:

• Enrollment in class

Content (Syllabus outline):
Introduction to R

• Data structures and objects
• R packages
• Use and design of functions, control structures
• Elements of statistical graphics
• Functions for statistical tests and models
• Design of R packages

Data visualization and Exploratory Data Analysis
Stochastic simulation, randomization and permutation tests
Repeated research

• Reporting with LaTeX: elements and use
• Sweave – connecting R and LaTeX to make reproducible computer supported statistical reports and presentations

Objectives and competences:
Statistical analysts need to be comfortable with state-of-the art computer tools which enable preparation of reproducible reports. Students will gain fundamental knowledge and skills to use statistical development platform R and combine it with LaTeX and Sweave. This will be useful in all other subjects and practical work which requires preparation of technically advanced statistical reports.

Intended learning outcomes:
Knowledge and understanding of statistical development platform R and document preparation system LaTeX.