Detailed information about the course
An introduction to R
13 and 19-20 May 2022
Catherine Suarez, coordinator CUSO Ecology & Evolution, UNIGE
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.
May 13: University of Lausanne, Amphipôle 210
University of Lausanne Amphipôle 210 (May 13) and online (May 19-20)
Course completion requirements:
Course in collaboration with the Doctoral Program in Organismal Biology of Neuchâtel, CUSO StarOmics, CUSO Ecology & Evolution and CUSO Microbiology.
Reimbursements for CUSO MPS Students:
NEW from 2021: Reimbursement of your travel tickets can be asked online through your MyCUSO.
For any question concerning reimbursement please contact the CUSO MPS coordinator Debora Zoia.
Please Register through the CUSO Ecology&Evolution Webpage
Deadline for registration: May 12, 2022
Priority is given to PhD students of the Doctoral Programs CUSO DPEE, MPS, StarOmics, Microbiology.Number of places for CUSO MPS: 4
For late cancellations (after April 27) or no-show: 50 CHF administrative fee
|Deadline for registration|