|Location:||Leibniz Institut for Epidemiology and Prevention Research (BIPS)|
Specific travel information can be found here.
|Room:||to be announced|
|Datum:||Monday, 10 March 2014|
|Time:||Informative Graphics with R - 9:00 a.m. to 5:30 p.m|
Data structures - 12:00 a.m. (Lunch) to 5:30 p.m.
|Lunch & Coffee breaks:||Included in the fee |
Lunch: 12:00 a.m. -1:00 p.m
Informative Graphics with R
Leo Geppert (Fakultät Statistik, TU Dortmund)
This tutorial deals with getting the story in your data across by using good and informative graphs. We will start with some basics, which will enable you to add to the output of existing plotting functions in R as well as produce flexible new graphs. After that, we will briefly cover the human visual system and consequences it has on graphical perception.
Following the fundamentals, we will have a detailed look at graphs for different situations, such as univariate, bivariate, and multivariate data. The focus lies on static graphs, but packages that allow for dynamic/interactive exploration and analysis of data will also be a topic.
Basic working knowledge of R is required. The tutorial contains multiple hands-on sessions to give you the chance to put the theory into practice, so please bring along your laptop
Data structures of modern molecular diagnostic technologies - Basics and Examples for "Next Generation Sequencing" Data
Torsten Semmler (Fachbereich Veterinärmedizin, Institut für Mikrobiologie und Tierseuchen, FU Berlin)
Dag Harmsen (Poliklinik für Parodontologie, Universitätsklinikum Münster, Universität Münster)
Jörg Rahnenführer (Fakultät Statistik, TU Dortmund) [expected]
Sven Rahmann (Genominformatik, Medizinische Fakultät Universität Duisburg-Essen)[expected]
Introduction and overview of biological principles and primary data as the basis for statistical analysis.
Language: German (please see German website for more information)