Introduction to R

Jérôme Goudet

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.

Type: course 
Category: M
Number of participants: maximum 30
Location: Lausanne, Amphipole building
Schedule: 9h00  to 12h00 and 13h30 to 17h30. Sep.29 - Oct-1: Room POL/204.2. Oct. 2: POL/146
ECTS: 2

Priority is given to PhD students of the ecology and evolution doctoral program. Other PhD students, Postdocs, master students and academics can attend for free but traveling/accommodation expenses cannot be reimbursed.

Registration form

Nadia Bruyndonckx
Coordinator of the Inter-University
Doctoral Program in Ecology and Evolution
Biophore building
University of Lausanne
Tel: +41 (0)21 692 4244
Fax: +41 (0)21 692 4165

E-mail: Nadia.Bruyndonckx(at)unil.ch