R4All: An introduction to the basics of R

Lecturers 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)
Certificate Confirmation of participation
Target
audience

Novice R users with a life science background.

Costs
  • CHF 600.- for members of UZH/ETH and associated institutes
  • CHF 800.- for alumni of UZH/ETH, members of other universities, federal and cantonal research facilities and agencies, non-profit organisations
  • CHF 1200.- for companies
Course
language
English
Course
description

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. Our latest development (new in 2015) has been for us to teach a modern approach to working in R, which focuses on simple, intuitive, and coherent tools.
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.

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.

Dates June 15-16, 2017
Registration deadline: 15.05.2017
  After registering you will receive a short automatic confirmation by email. If you received this email you are successfully and bindingly registered for the course. For administrative reasons the written invoice won't be sent out until about two weeks before the course.