# 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