Oliver Kirchkamp
[A picture of Oliver Kirchkamp]

Graphs and visualising data

This course is part of the International Max Planck Research School on Adapting Behavior in a Fundamentally Uncertain World. The course can also be credited as a part of MW24.5.
Schedule:
Lecture (daily): 6.-11.8.2018, 11:00-12:30, KU Hörsaal, Bachstraße 18K
Motivation
Graphs and Illustrations can contribute a lot to the success of a scientific paper. In this course we will discuss different ways to use graphs in our research.
Handout
Here is a preliminary version of the handout
Exam
You can download the exam on Saturday, 11. August 2018, 9:30. Please solve all questions independently and return your answers as a single PDF file until 10:15.
Example data
gra-ex1.csv gra-ex2.csv
Topics
  • Introduction
  • Properties of good graphs
  • Presenting nominal data
  • Presenting continuous data
  • Using R
  • Lattice
Literature
  • William S. Cleveland, “The Elements of Graphing Data”, AT&T Bell Laboratories, New Jersey, 1994.
  • Deepayan Sarkar, “Lattice — Multivariate Data Visualization with R”. Springer, New-York, 2008.
  • Edward Tufte, “The Visual Display of Quantitative Information”. Bertrams. 2001.
Software
During the second half of part 1 it will help if you can bring your own portable computer to the classes. You should have an up-to-date version of R installed. We will also need the following libraries: aplpack, car, Ecdat, Hmisc, ks, lattice, latticeExtra, MASS, mgcv, plotrix, pwt, reshape, vcd.