If you have any questions, please contact Jacques Flores, consultant at RDM Support. Registration will open two months before the workshop date.

use RStudio, and use it to write an R script and an R markdown document.įor information on the planning, location and registration of the Introduction to R & Data, take a look at the upcoming workshops below.

open, read, manipulate, save, and visualize a dataset, using tidyverse tools.

understand what ‘tidy’ data is, how to generate it, and work with it.

read and write lines of R code (even if you do not understand all functions, you know how to look them up).

Moreover, this way you produce a human-readable document with which you can easily share and showcase your work.Īt the end of the course you will be able to: We will work in RStudio and introduce R as well as R Markdown: this is a great way to combine code and its output with text, allowing you to code in a narrative and intuitive way.

Not only that, we will take some time to understand datasets and their architecture, preparing you to handle your own data in a clean, robust, and reproducible manner. The course will take you from the very basics in R syntax, to data handling and visualization using a set of tools known as the ‘tidyverse’. In this workshop, we aim to give you the tools to start exploring R and all it has to offer by yourself. R is a powerful scripting language for data handling, data visualization, and statistics. Best Practices for Writing Reproducible Code.Introduction to R & Data for Humanities.Quick start to Research Data Management.Learn to write your DMP (online training).Walk-in hours & Workshops Close submenu +.Pilot transcription service Amberscript.

Transcription of audio data Close submenu +.The research data repository DataverseNL.Storing and managing data Close submenu +.Working safely with research data from home.