Lesson Open Access

Reproducible Quantitative Methods: Data analysis workflow using R

Luke W Johnston; Daniel R Witte; João Santiago; Anna Schritz

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 course, offered by the Danish Diabetes Academy, intends to help bridge that gap. This course is aimed mainly at early career researchers (e.g. PhD and postdocs) 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 syllabus.

Files (20.5 MB)
Name Size
dda-rcourse-v1.0.0.tar.gz
md5:a2e5fd26f392895aaebab31749202168
20.5 MB Download
158
4
views
downloads
All versions This version
Views 158158
Downloads 44
Data volume 81.9 MB81.9 MB
Unique views 155155
Unique downloads 44

Share

Cite as