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Introduction to R

October 17-20, 2011, LAUSANNE

Organizer / Faculty

Prof. Jérôme Goudet, University of Lausanne

This is a joint course between the Doctoral Program in Ecology and Evolution
and the Doctoral Program in Population Genomics.


The open source software R (http://www.r-project.org) has revolutionized the statistical data analysis for most bioscience disciplines. The required time to learn the R software is well invested, since the R environment covers an unmatched spectrum of statistical tools including an efficient programming language for automating time-consuming analysis routines. Due to its popularity, R is continuously updated and extended with the latest analysis tools that are available in the different research fields. The R environment is completely free and runs on all common operating systems. This course provides an elementary-level introduction into the R environment covering the following topics:

(1) Command syntax, basic functions,
(2) Data import/export and data types,
(3) Using R for data mining and statistical analysis,
(4) Introduction to programming in S,
(5) Graphical display,
(6) Usage of R packages and libraries

The attendees will practice their newly learned skills using exercises on the computer. Participants could also bring their own data sets for a first exploratory round.

General information

Date: October 17-20, 2011
Time: 9:00-12:00 and 13:00-17:00
Location: University of Lausanne, Amphipole building, POL/204.2
Number of participants: max. 25

Although the course will take place in a computer room, it is preferrable to bring your own laptop. Participants will receive additional information about the software that needs to be installed upfront by email.




Ute Friedrich
Doctoral Program Population Genomics
Biophore building
University of Lausanne
Tel: +41 (0)21 692 4207
Fax: +41 (0)21 692 4165
E-mail: ute.friedrich[@]unil.ch

Biophore - CH-1015 Lausanne  - Switzerland  -  Tel. +41 21 692 42 76