Statistics is a fundamental tool in science that tells us what we can learn from data. The aim of this course is to train the handling and analysis of data. We will learn different ways how data can be displayed graphically and summarised in tables. This is one way how we can uncover patterns in the data. Furthermore we will see how data can be described by statistical models and how we can use them to confirm/reject theories. Although statistical ideas may be expressed most precisely and economically in mathematical terms this course does not emphasis elegant mathematical but convenient and feasible solutions.
This course is open for everyone who wants to train in analysis of data. We will do this by analysing examples from biological research using R as a tool for practising all different steps of the analysis. Therefore you have to be familiar with the fundamental ideas and methods of statistics and of R (e.g. from other courses). If you have never used R before you have to train yourself (see the documentation section at www.r-project.org for an overview of manuals and books).
Wednesday, 14:00 - 16:00,
"Kleiner Hörsaal", Vesalianum 1st floor
(Exception: April, 4th, "Praktikumsraum", Vesalianum 1st floor)
There will be a final exam. The exam is obligatory for obtaining two credit points.
An R-package (called asuR) with all resources needed for the course
(data sets, and examples) is available. It can be
installed directly using:
install.packages(pkgs = "asuR", repos = "http://www.r-forge.r-project.org")
Lecture notes:
coursenotes2012.pdf
The resource centre for everything concerning R: www.r-project.org