| Detailed information |
| Pre-requisites |
(*)keine
|
| Original study plan |
Bachelor's programme Statistics and Data Science 2019W |
| Objectives |
Use of the statistical software environment R and the implementation of new methods and extension of R by self-written functions.
|
| Subject |
Data types in R, descriptive analysis, data preparation and pre-processing, graphics, self-written functions, random number generation, simulations
|
| Criteria for evaluation |
Home work assignments and written project report
|
| Methods |
Lecture by instructor; Discussion of the homework assignments by the students; Independent programming of statistical analysis methods
|
| Language |
German |
| Study material |
Ligges, U. (2009) Programmieren mit R, Springer, Berlin / Heidelberg, 3. Auflage.
Supplementary reading will be announced each semester.
|
| Changing subject? |
No |
| Corresponding lecture |
(*)551STSOPSSU14: PR Programmieren mit Statistischer Software (4 ECTS)
|
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
551STSOPSSP17: PR Programming With Statistical Software (2017W-2019S)
|
