Detailed information about the course
An Introduction to R
September 14, 15 and 24 (3 days, makes a whole)
|Lang||Workshop language is English|
Dr Pauline Fritsch
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
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.
MORE INFORMATION WILL FOLLOW
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).
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
|Deadline for registration|