Workshop materials: Data processing with R tidyverse

Workshop: Using the tidyverse of R for data handling and visualization. R is a very powerful language for statistical computing in many disciplines of research and has a steep learning curve. The software is open source, freely available and has a thriving community. ZPID invited Roland Krause and Aurélien Ginolhac from the University of Luxembourg to give an online workshop about the tidyverse of R. The tidyverse is a collection of R packages that are designed to promote code understandability. The three day course provides a complete introduction to data handling in the tidyverse. The course will not go deep into statistics but rather into getting data ready, some exploratory analysis, visualization and handling models. Day 1 will review the basics of R, loading data via the vroom package and basic cleaning of text using regular expressions. Day 2 will introduce tidying and organising data via the tidyr and dplyr packages as well as ggplot2 for vizualisation. Day 3 will look at functional programming tools using the purrr package, which greatly simplifies repeating operations. RMarkdown documents enable reproducible and automated reporting. Many statistical packages have complicated and idiosyncratic data structures. The broom package helps to convert them to consistent data structures. For instructions about the workshop materials and links to access them online (rather than for download), see the readme file and the related PsychArchives objects.