An Introduction to R

29 August - 1 September 2017

Dr. Caroline Betto-Colliar, Coordinatrice CUSO E&E, University of Lausanne; Prof. J. Goudet, University of Lausanne

Prof. J. Goudet, University of Lausanne

The open source software R (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.

University of Lausanne

Registration Fees: 

Free for participants belonging to a CUSO University (UniBE, UniFR, UniGE, UniL & UniNE) and PhD students of the DP-biol.

400CHF for Academic participants
800CHF for Non-Academic participants
The registration fees do not cover accomodation and food.

Reimbursement:

PhD students of the MPS are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class) and meals (up to 25 CHF). Please send the original tickets (no copies, except for the general abonnement) with the reimbursement form to:

Debora Zoia
Doctoral Program in Molecular Plant Science
DBMV- Biophore Building
University of Lausanne
CH-1015 Lausanne

REGISTRATIONS WILL OPEN 13TH OF MARCH 2017 AT 10:00AM

Please register through your MyCUSO account through the Ecology and Evolution webpage.

Priority is given to PhD students from the Doctoral Programs in Organismal Biology, CUSO StarOmics, CUSO Molecular Plant Sciences, CUSO Microbiology and CUSO Ecology-Evolution (6 places each) up to 15th of July 2017

30