Program 2017
Introduction to R
Courses of this category are aimed at R beginners who have basic knowledge in statistics. They provide an introduction to the application of R in an understandable and practically oriented manner.
Special: Introduction to R for the Life Sciences - An R4All Course Series
Courses of this category are aimed at R beginners particularly from the life sciences. They provide an introduction to the application of R in an understandable and practically oriented manner and are specifically tailored to the needs and prerequisites of the life sciences.
R4All: An introduction to the basics of R: 15.-16. June
R4All: Building on the basics of R: 14.-15. September
Statistical data analysis with R
Courses of this category are aimed at users who have basic knowledge in statistics and have used R before. They cover a general introduction as well as the practical application of particular statistical methods in R.
Missing Value Imputation: 23.-24. February
Introduction to classification and regression trees, random forests and model-based recursive partitioning in R: 15.-16. May
Data Processing, Visualisation and Reporting with R: 1.-2. June
Programming with R
Courses of this category are aimed at advanced R users and provide special knowledge, ranging from basic programming commands to building your own R packages.
Higher-Performance R Programming with C++ Extensions: 28.-29. June
Additional Information
- Einführung in R
- R4All: An introduction to the basics of R
- R4All: Building on the basics of R
- Missing Value Imputation
- Introduction to classification and regression trees, random forests and model-based recursive partitioning in R
- Data Processing, Visualisation and Reporting with R
- Higher-Performance R Computing with C++ Extensions
- IMPS-Proconference-Course: Item Response Theory in R