R is a very powerful and versatile computing environment and a tool for statistical data analysis. R is an open-source tool and it is developed by its users. The goal of this course is to provide students with enough knowledge on R so they can learn new techniques by themselves and/or follow advanced courses taught in R. Each participant is given with help of practical exercises a gradual introduction to working with the statistical program R. After explaining the statistical background, the handling of R is demonstrated using smaller samples.

Content:

First day:

• The R console
• Expressions and Assignments
• Vectors & Matrices
• Simple graphs
• General help options

Second day:

• Data Processing
• Graphics creation
• Simple loops
• Correlation & Linear Regression Models

Prerequisite knowledge: 

• Basic statistical knowledge is needed (e.g. descriptive statistics, basics of regression analysis).
• No previous knowledge of R is required.

Target group: Doctoral candidates who need a compact introduction or refresher on statistical methods and their application in R.