An introduction to R

13 and 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!

SCHEDULE:
9:00-12:00 and 13:30-17:00

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

University of Lausanne Amphipôle 210 (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.

Course in collaboration with the Doctoral Program in Organismal Biology of Neuchâtel, CUSO StarOmics, 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 MPS 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 MPS coordinator Debora Zoia.

Please Register through the CUSO Ecology&Evolution Webpage

Deadline for registration: May 12, 2022

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

For late cancellations (after April 27) or no-show: 50 CHF administrative fee

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