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, Wunder Consulting Wald, ZH

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:
(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 (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

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!

Reimbursements

Reimbursements for CUSO Microbiology 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 Microbiology coordinators: microbiologie(at)cuso(dot)ch

Cancellation Policy

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

Registration here: registration

Deadline for registration: 12 may 2022
Priority is given to PhD students of the Doctoral Programs 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 the deadline (20.04): free
Late cancellations or no-show: 50 CHF administrative fee

20

In case of question, please write to us at microbiologie(at)cuso(dot)ch