Detailed information about the course
An Introduction to R
14, 15 & 24 September 2020
Pauline Fritsch, Dr., Coordinator of the Doctoral Program in Organismal Biology of Neuchâtel (DP-Biol), UNINE
Jan Wunder, Dr., Wunder Consulting Wald, CH
Tina Cornioley, Dr., ETH Zürich (Course assistant)
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
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.
TE COURSE WILL BE HELD ONLINE
University of Lausanne, room Cubotron - III
The course is organized in collaboration with the CUSO doctoral programs in StarOmics (CUSO StarOmics), Microbiology (CUSO Microbiology) and the Doctoral Program in Organismal Biology of Neuchâtel (DP-Biol).
4 places available for CUSO MPS students.
Please Register Through the CUSO Microbial Sciences website.
|Deadline for registration|