An introduction to R

13 & 19-20 May 2022

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

Dr. Jan Wunder

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:

• Object-oriented programming & command line interface
• Work environment & data import/export,
• Data structures
• Data exploration
• Data visualisation
• Basic hypothesis testing
• 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 (https://www.r-project.org/) and R Studio (rstudio.com) installed!

9:00-12:00 and 13:00-17:00

May 13: University of Lausanne, Amphipôle 210
May 19-20: ONLINE

University of Lausanne (May 13) and online (May 19-20)

Map

Course completion requirements:

• Attendance - Presence and active participation is required during the entire course.
• Home work - Participants are required to hand in a homework consisting of several exercises before June 10.

When?

13 May 2022
&
19-20 May 2022

Time: 9h00-12h00 and 13h00-17h00


Where?
May 13: University of Lausanne, Amphipôle 210

May 19-20: ONLINE

Questions?

Catherine Suarez@:ecologie-evolution(at)cuso(dot)ch

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 Fee

Free for participants enrolled in the CUSO Ecology & Evolution doctoral programme, StarOmics, MPS, Microbiology and DPOB.
Other participants: please contact the program coordinator at ecologie-evolution(at)cuso.ch

Cancellation Policy

In case of cancellations, before 09.05.2022: free
Late cancellations or no-show: 50 CHF administrative fee

! EXTENDED DEADLINE for registration: 12 May 2022
Priority is given to PhD students of the Doctoral Programmes CUSO DPEE, MPS, StarOmics, Microbiology

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").

In case of cancellations, before 09.05.2022: free
Late cancellations or no-show: 50 CHF administrative fee

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