Fiches de cours 2017-2018

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Statistiques multivariables avec R

ENV-521

Enseignant(s) :

Buttler Alexandre
Walker Thomas William Nicholas

Langue:

English

Summary

Introduction to multivariate data analysis and modelling. The course helps for a critical choice of methods and their integration in a research planning. It prepares for complexe data analysis in various fields of environemental sciences. Use of dedicated R libraries

Content

 

 

Keywords

Multivariable analysis, statistics for complexe data sets

Learning Prerequisites

Recommended courses

Probabilities and statistics

Experimental Design and Data Analysis with R" (EDDAR - ENG 467)

 

Learning Outcomes

By the end of the course, the student must be able to:

Teaching methods

Lecture and exercises on computer, personel project for applying methods.

Expected student activities

Participating at the lecture and reading the hand-out

Applying the various methods with the exercices and provided data set

Personal project with report and defense

 

 

Assessment methods

40 % spot written control (2h) during the semester
10 % continuous control (exercises) during the semester
50 % oral exam (30 min) during exam session

Supervision

Office hours Yes
Assistants Yes

Resources

Bibliography

BIBLIOGRAPHY

Legendre, P., & Legendre, L. (2012) Numerical Ecology. 3e ed., Elsevier ***

Jongman, R.H.G, Ter Braak, C.J.F. & Van Tongeren, O.F.R. (1987) Data analysis in community and landscape ecology. PUDOC, Wageningen

Borcard, D., Gillet, F. & Legendre, P. (2011) Numerical Ecology with R. Springer Verlag.*

 

*** for theory and fundamental concepts

* to work with R (codes)

 

Ressources en bibliothèque
Notes/Handbook

Available on Moodle.epfl.ch

Websites
Moodle Link

Prerequisite for

Master project

Dans les plans d'études

Semaine de référence

 LuMaMeJeVe
8-9     
9-10     
10-11     
11-12     
12-13     
13-14GRC002    
14-15    
15-16GRC002    
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
 
      Cours
      Exercice, TP
      Projet, autre

légende

  • Semestre d'automne
  • Session d'hiver
  • Semestre de printemps
  • Session d'été
  • Cours en français
  • Cours en anglais
  • Cours en allemand