Lesson Open Access
Johnston, Luke W.; Juel, Helene Bæk; Lengger, Bettina; Witte, Daniel R.; Chatwin, Hannah; Christiansen, Malene Revsbech; Isaksen, Anders Aasted
Reproducibility and open scientific practices are increasingly being requested or required of scientists and researchers, but training on these practices has not kept pace. This 3-day course intends to help bridge that gap and covers the fundamentals and workflow of data analysis in R.
This repository contains the lesson, lecture, and assignment material for the course, including the website source files and other associated course administration files.
For more detail on the course, check out the website.
|All versions||This version|
|Data volume||463.3 MB||34.6 MB|