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.
Target group: Doctoral candidates who need a compact introduction or refresher on statistical methods and their application in R.
26 April 2017, 9:00-16:00 and
27 April 2017, 9:00-16:00
Trainer: Alexander Hirner
Registration: Online via U:Space
Registration takes place exclusively online via U:Space. We are sorry, but we cannot consider e-mail registrations. Please, mind the registration deadline, which generally ends 3 weeks before start of a course. With your registration you commit yourself to participating in the whole workshop. Course material is sent to a participant's unet e-mail address and has to be taken along to the workshop.