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
May 19-20: ONLINE

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

Map

Course in collaboration with the Doctoral Program in Organismal Biology of Neuchâtel, CUSO Molecular Plant Sciences, CUSO Ecology & Evolution and CUSO Microbiology.

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

Reimbursements

Reimbursements for CUSO Students:
- Train ticket, 2°class, half-fare from your institution to the place of the activity.
- NO reimbursement for your meal expenses. 

NEW from 2021: Reimbursement of your travel tickets can be asked online through your MyCUSO.
See HERE for the procedure.

For any question concerning reimbursement please contact the CUSO StarOmics coordinator Corinne Dentan.

Cancellation Policy

In case of cancellations, before the deadline (20.04): free
Late cancellations or no-show: 50 CHF administrative fee

Deadline for registration: May 12

Priority is given to PhD students of the Doctoral Programs CUSO DPEE, MPS, StarOmics, Microbiology until 13 April 2022.
Number of places for CUSO StarOmics: 4

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