An Introduction to R

14, 15 and 24 September 2020

Dr Pauline Fritsch
Coordinator Doctoral Program in Organismal Biology
Université de Neuchâtel

Course in collaboration with the CUSO Doctoral Programs in StarOmics, Molecular Plant Sciences & Microbiology

Dr. Jan Wunder, Wunder Consulting Wald, Birmensdorf, CH

Dr. Tina Cornioley, ETH Zürich, CH

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.

Provisional Schedule:

9h00-12h00
13h30-17h00

MORE INFORMATION WILL FOLLOW

ONLINE !

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

Reimbursements:

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

Reimbursement form attached with original tickets has to be sent to the StarOmics coordinator Corinne Dentan at University of Lausanne, CIG, Le Génopode, 1015 Lausanne.

4 places available for CUSO StarOmics students.

Priority is given to StarOmics PhD Students until 16 August 2020.

[REGISTRATION IS CLOSE]Deadline for Registration: 30 August 2020

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