Multivariate Statistics in Ecology and Quantitative Genetics SS 2011

Lecture with Exercises (Vorlesung mit Übung): (3 Credit Points)


Prof. Dr. Dirk Metzler and Dr. Martin Hutzenthaler

Time and rooms

July 18 2011 until August 5 2011
Lecture: Each day from 9:15 to 10:45 in room D00.013
Exercises: To be announced
Please note: If you fully attend the course (which is required to get the 3 ECTS points) you will need the time between the 11 a.m. and 5 p.m. to solve exercises which will be given in the morning lectures and discussed in the afternoon courses.


Basic knowledge of statistics. If you are not already familiar with the free R software, it may be a good idea to install it on your computer and get a bit familiar with it before the course starts. Some examples (data file FinchesSulloway.txt), R tutorial, Martin's introductory R course.


In the exercises you will practice to analyse data with the methods listed below using the R software. We will discuss the interpretations of the results and problems that may arise during the analysis. In the lectures we will explain the theoretical concepts behind the methods and show how these methods can be applied.

If you would like to discuss analyses of your own datasets during the course, please contact D. Metzler or M. Hutzenthaler as soon as possible.

Language: English

Course material

  1. Linear Models: slides, R commands for Darwin finches, Darwin finches data, exercises sheet 1, abcdx.txt, bp.txt
  2. Balanced design ANOVAs, parameter transformations: slides, R-script, exercises sheet 2, bacteria_trainig.txt, bacteria_predict.txt
  3. Generalized Linear Models: slides, exercise sheet 3, TbDeerAndBoar.txt
  4. Mixed-effects models slides, exercise sheet 4
  5. Hotellings T2-test slides
  6. Principal Component Analysis (PCA): slides, exercise sheet 5, grapes.txt, exercise sheet 6, HeightShoeWeight.txt
  7. Redundancy Analysis (RDA): slides, R-script, exercise sheet 7, EWU.txt, HSWoutlier.txt, artificialFishes.txt, RIKZGroups.txt
  8. Correspondence Analysis (CA): slides, R-script, MexicanPlants.txt
  9. Canonical Correspondence Analysis (CCA): slides, R-script, exercise sheet 8,
  10. QTL Mapping slides, R-script, exercise sheet 9
  11. Genexpression data and the problem of more parameters than observations slides, R-script, exercise sheet 10
  12. Summary slides
  13. Here is the course material from 2010.


Announcement in official LMU course overview

Last update: Dirk Metzler, August 5, 2011