An introduction to R
23 - 26 September 2008, Lausanne
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, Biophore building
Schedule: 9h00 to 12h00 and 13h30 to 17h30. Room POL/204.2, Amphipôle building, Unil Sorge
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.
The course is full!
Coordinator of the Inter-University
Doctoral Program in Ecology and Evolution
University of Lausanne
Tel: +41 (0)21 692 4244
Fax: +41 (0)21 692 4165