Detailed information about the course

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An introduction to R


13 & 19-20 May 2022

Lang EN Workshop language is English

Catherine Suarez, coordinator CUSO Ecology & Evolution, UNIGE
Debora Zoia, coordinator CUSO MPS, UNIL
Corinne Dentan, coordinator CUSO StarOmics, UNIL
Pauline Fritsch, coordinator CUSO Microbiology and DPOB, UNINE


Dr. Jan Wunder


The open source software R ( 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) Object-oriented programming & command line interface

(2) Work environment & data import/export,

(3) Data structures

(4) Data exploration

(5) Data visualisation

(6) Basic hypothesis testing

(7) R Programming

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.

Please bring your laptop to the course with the last version of the R software ( and R Studio ( installed!


9:00-12:00 and 13:30-17:00 (TBC)


University of Lausanne


13 & 19-20 May 2022
9h00-12h00 and 13h00-17h00 (TBC)

University of Lausanne

Catherine Suarez

The course is organized in collaboration with the CUSO doctoral programs in Molecular Plant Sciences (CUSO MPS), StarOmics (CUSO StarOmics), Microbiology (CUSO Microbiology) and the Doctoral Program in Organismal Biology of Neuchâtel (DP-Biol).


Please bring your laptop to the course with the last version of the R software and R Studio installed!


Registration Fees

Free for participants enrolled in the CUSO Ecology & Evolution doctoral program.

Other participants: please contact the program coordinator at ecologie-evolution(at)

Cancellation Policy

In case of cancellations, before the deadline (TBA): free
Late cancellations or no-show: 100 CHF administrative fee



Priority is given to PhD students of the Doctoral Programs CUSO DPEE, MPS, StarOmics, Microbiology until 13 April 2022 (TBC)

Number of places for CUSO DPEE: 4

External participants (non-CUSO PhD students, post-docs, etc...): use the icon "registration" at top of the page and the last gray box "non-CUSO student" ("personne hors myCUSO").




Deadline for registration
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