Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/UtrechtUniversity/workshop-introduction-to-R-and-data

Material for the workshop 'Introduction to R & data'
https://github.com/UtrechtUniversity/workshop-introduction-to-R-and-data

Last synced: 20 days ago
JSON representation

Material for the workshop 'Introduction to R & data'

Awesome Lists containing this project

README 

        
# Workshop: Introduction to R & Data



DOI



This repository contains the workshop materials for the one-day workshop ['Introduction to R & Data'](https://www.uu.nl/en/research/research-data-management/training-workshops/introduction-to-r-data) at Utrecht University.

The workshop is organized regularly by [Research Data Management Support](https://www.uu.nl/en/research/research-data-management).



**[Click here to go to the workshop materials](https://utrechtuniversity.github.io/workshop-introduction-to-R-and-data/)**



## Workshop description



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.



## Upcoming workshops

Check [uu.nl/rdm](https://www.uu.nl/en/research/research-data-management/training-workshops/introduction-to-r-data) to see and register for upcoming workshops.



## Installation requirements

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](https://utrechtuniversity.github.io/workshop-intruduction-to-r-and-data/installation-and-setup.html).



## Course materials



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](https://github.com/UtrechtUniversity/workshop-introduction-to-R-and-data/raw/main/course-materials.zip).

You can also see the individual files [here](course-materials).



## Acknowledgements



The workshop 'Introduction to R & data' is developed and maintained by [Research Data Management Support](https://www.uu.nl/en/research/research-data-management) at Utrecht University.



- All videos were recorded by [Jacques Flores](https://www.uu.nl/medewerkers/jpflores) and [Barbara Vreede](https://github.com/bvreede)

- The earlier material were updated and further refined by [Neha Moopen](https://www.uu.nl/staff/NMoopen), [Jacques Flores](https://www.uu.nl/medewerkers/jpflores) and [Dorien Huijser](https://www.uu.nl/staff/DCHuijser)

- The course is based on earlier versions by [Jonathan de Bruin](https://github.com/J535D165) and [Tessa Pronk](https://github.com/TessaPr)