Course: Computer Support of Statistics

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

Study programme and level Study type Academic year Semester
Applied statistics, second level All modules 1st 1st

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.   

Contact

Main contact:
e-mail: info.stat (at) uni-lj.si

Contact for administrative questions (enrolment, technical questions):
Katarina Erjavec Drešar
University of Ljubljana, Faculty of electrical engineering, Tržaška cesta 25, 1000 Ljubljana.
room num.: AN012C-ŠTU
phone: 01 4768 209
e-mail: katarina.erjavec-dresar (at) fe.uni-lj.si