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
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|