851016 First Steps with R
This page is available under these URLs:
- Lecture and exercise
- Semester hours
- Lecturer (assistant)
- Scharl-Hirsch, Theresa
- Offered in
- Wintersemester 2022/23
- Languages of instruction
This course covers the first steps with the statistical computing environment R. It is the basis of many other courses offered at the Institute of Statistics and will be held as a blocked course at the beginning of the semester.
R is a flexible and powerful statistics program that is freely available. R is a noncommercial alternative to programs like SAS, SPSS, or S-PLUS.
The following topics will be covered:
* Installation, packages
* R as calculator, data types, classes, random number generator, control structures
* Introduction to plotting and data import/export
* RStudio as an editor: RStudio is an integrated development environment (IDE) for R and includes a console, a syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management.
* R Markdown reports: R Markdown documents are fully reproducible and weave together narrative text and code to produce elegantly formatted output.
- Objective (expected results of study and acquired competences)
Participants should be able to use the basic functions of the R programming system and to do elementary statistical analyses.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.