R4All: An introduction to the basics of R


Two of Prof. Dr. Owen Petchey (University of Zurich), Dr. Andrew Beckerman (University of Sheffield), Dr. Dylan Childs (University of Sheffield), and Dr. Natalie Cooper (Natural History Museum London) (www.r4all.org)

Abschluss Confirmation of participation

Novice R users with a life and environmental science background.

  • CHF 600.- für Angehörige der UZH/ETH und assoziierter Institute
  • CHF 800.- für Alumni der UZH/ETH, Angehörige anderer Universtitäten, Einrichtungen der öffentlichen Hand und non-profit Organisationen
  • CHF 1200.- für Firmen
Personen ohne Anstellung können sich auf Anfrage zum UZH/ETH Preis anmelden.
Kurssprache Englisch

This course gives an easy and comfortable boost up what is often thought to be a steep initial learning curve. R4All has been providing this course to researchers across the globe for over ten years, giving the time and experience to design and finesse the course structure and content. We use and teach a modern approach to working in R, which focuses on simple, intuitive, and coherent tools (centred on the “tidyverse”).
Topics include:
    • Getting acquainted with R and RStudio.
    • Your first script.
    • Getting help.
    • Add-on packages.
    • Preparing data for R (introducing tidy data concept).
    • Getting data into R.
    • Basic and intermediate data cleaning (lubridate, tidyr)
    • Basic and intermediate data manipulating, with dplyr.
    • Basic and intermediate data visualization, with ggplot2.
    • Putting this together to solve a problem.
    • Report creation with Knitr.
The course particularly addresses participants from life sciences (e.g., medicine, biology) or other fields with little prior experience in statistical analyses. Basic knowledge of statistics (e.g. linear regression) will be reviewed during the course. Furthermore, the course requires no previous experience with R.

For all Zurich R Courses participants should bring their own laptops to the course. Internet access will be provided, to allow installation of any required software and packages.


20.-21. Mai 2021 [canceled]
07.-08. Oktober 2021 [ausgebucht] 

  Nach der Anmeldung erhalten Sie zunächst eine kurze automatische Anmeldebestätigung per Email. Wenn Sie diese Email erhalten haben, sind Sie erfolgreich und verbindlich zum Kurs angemeldet. Die schriftliche Rechnung wird aus administrativen Gründen erst ca. zwei Wochen vor Kursbeginn verschickt.