Program 2018
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: April 9-10
R4All: Building on the basics of R: September 6-7
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, e.g.:
- mixed (hierarchical) models with R
- structural equation models with R
- machine learning methods with R
Mixed (hierachical) Models in R: May 3-4
Data Processing, Visualisation and Reporting with R: May 17-18
Categorical Data Analysis with R: May 31 - June 1
Bayesian inference using R-INLA: October 29-30
Data Processing, Visualisation and Reporting with R: Nov 29-30
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.
R programming: June 21-22
Shiny and Interactive Visualisation in R: September 5
Additional Information
- Introduction to R
- Data Processing, Visualisation and Reporting with R
- Data Processing, Visualisation and Reporting with R
- R4All: An introduction to the basics of R
- Mixed (hierachical) Models in R
- Categorical Data Analysis with R
- Introduction to R programming
- Shiny and Interactive Visualisation in R
- R4All: Building on the basics of R
- Bayesian inference using R-INLA