This repository contains the workshop materials for the one-day workshop 'Introduction to R & Data' at Utrecht University. The workshop is organized regularly by Research Data Management Support.
Click here to go to the workshop materials
R is a powerful programming language for data handling, data visualization, and statistics. In this workshop, we aim to give you the tools to start exploring R and all it has to offer by yourself.
The course will take you from the very basics in R syntax, to data handling and visualization using a set of packages designed for data science, known as the tidyverse.
We will also take some time to understand datasets and their architecture, preparing you to handle your own data in a clean, robust, and reproducible manner.
We will work in RStudio and introduce R scripts as well as the R Markdown format: the latter is a great way to combine code and its output with text, allowing you to code in a narrative and intuitive way.
Moreover, this way you produce a human-readable document with which you can easily share and showcase your work.
Check uu.nl/rdm to see and register for upcoming workshops.
This course requires three things to be installed:
- The language R
- The IDE Rstudio
- The packages in tidyverse
Information on how to install these (and troubleshoot the installation) is on the installation guide.
You can best follow the materials using the online book that contains all course materials: https://utrechtuniversity.github.io/workshop-intruduction-to-R-and-data.
The following zipped file contains the files you need to follow along: course-materials.zip. You can also see the individual files here.
The workshop 'Introduction to R & data' is developed and maintained by Research Data Management Support at Utrecht University.
- All videos were recorded by Jacques Flores and Barbara Vreede
- The earlier material were updated and further refined by Neha Moopen, Jacques Flores and Dorien Huijser
- The course is based on earlier versions by Jonathan de Bruin and Tessa Pronk