The use of R in the data science field has increased enormously the last few years. One very useful toolkit for a wide variety of analyses is the ‘tidyverse’: a collection of R-packages used for data manipulation, exploration and visualization that share a common design philosophy. Tidyverse packages are intended to make statisticians and data scientists more productive by guiding them through workflows that facilitate communication, and result in reproducible work products.

In this workshop you will learn:

The difference between tidy and untidy data
How to create tidy datasets and manipulate them using the main tidyr and dplyr verbs
Make your results reproducible by using Rmarkdown and Rstudio
Integrate data visualisation into your workflow using ggplot2
Apply the tidyverse to biological problems

LEVEL: A very basic knowledge of the R programming language (or any other programming language) is expected.

We expect a little bit of R-experience for this workshop. If you’re already an R-wizard but never did anything using Tidyverse, then this workshop is a great introduction to it! If you’re not an R-wizard but now a little bit of R, then this course is a great way to improve your R-skills fast.

If you’re already pretty good with Tidyverse, I guess we can not help you as this is an introduction

Please remember to bring your own laptop with the last version of R installed.

Location: Campus Gusthuisberg O&N2 HP5 (05.204) and HP7 (05.208) classrooms