About R4phd
R4phd is a free, open collection of teaching material on R, RStudio, the tidyverse and reproducible data science. It began as the website for our 4-day PhD course at the University of Southern Denmark, and today we use it across several courses and workshops. It is also meant for anyone who wants to learn on their own.
Our aim is practical: to help researchers move from a spreadsheet to a transparent, reproducible workflow in which data import, cleaning, analysis, figures and tables all live in code.
The team
We are two researchers in musculoskeletal and pain research who use R every day. We use it for classic data science and statistics, but also to build Shiny apps and chatbots and to analyse digital pain drawings (paindrawr)
Søren O’Neill
Clinical Associate Professor, PhD
Søren is based at the Department of Regional Health Research, University of Southern Denmark, and the Spine Centre of Southern Denmark, Lillebaelt Hospital in Kolding. His research focuses on low back pain, pain mechanisms and pain modulation.
Steen Harsted
Associate Professor, PhD
Steen is based at SDU Health Informatics and Technology, the Maersk Mc-Kinney Moller Institute. His research covers spinal pain, pain drawings, reliability studies and motor development in preschool children. He is the author of the R package mocapr for working with motion capture data.
Reuse and licence
All material on this site is licensed under Creative Commons Attribution (CC BY). You are free to share and adapt it, including in your own teaching, as long as you give appropriate credit.
Feedback
Found an error, a broken link or something that could be explained better? Let us know. Feedback from learners is the main way this material improves.