Multivariate Statistics in Ecology and Quantitative Genetics SS 2012


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

Instructors

Prof. Dr. Dirk Metzler and Dr. Martin Hutzenthaler

Time and rooms

July 2 2012 until July 20 2012
Lecture: Each day from 9:15 to 10:45 in room D00.013
Exercises: To be announced

Exam

The exam will take place on Friday, July 20, from 3:00 p.m. to 4:30 p.m. in seminar room B01.015. Participants can bring non-programmable pocket calculators an their personal assortment of formulas on an A4 sheet. This A4 can have any contents on both sides BUT ONLY IN YOUR OWN HANDWRITING! (no copy, not print-out, not another person's handwriting) 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.

Requirements

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.

Contents

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. Hotellings T2-test slides, R-script, raspberry.csv exercise sheet 4, grapes.txt
  5. Principal Component Analysis (PCA): slides, R-script, exercise sheet 5, HeightShoeWeight.txt
  6. Redundancy Analysis (RDA): slides, R-script, exercise sheet 6, EWU.txt, HSWoutlier.txt, artificialFishes.txt, RIKZGroups.txt
  7. Correspondence Analysis (CA): slides, R-script, MexicanPlants.txt
  8. Canonical Correspondence Analysis (CCA): slides, R-script, exercise sheet 7,
  9. Mixed-effects models slides, lme4a.R, exercise sheet 8, fruits.txt
  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

    Material will be added during the course. Here is the course material from 2011.

Literature

Announcement in official LMU course overview


Last update: July 19, 2012