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.
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dda-rcourse-v1.0.0.tar.gz
md5:a2e5fd26f392895aaebab31749202168 |
20.5 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 1,541 | 1,545 |
| Downloads | 20 | 20 |
| Data volume | 409.7 MB | 409.7 MB |
| Unique views | 1,538 | 1,542 |
| Unique downloads | 19 | 19 |
- Publication date:
- March 22, 2019
- DOI:
-
- Keyword(s):
- reproducible research data analysis education training educational material R programming R statistical computing data analysis workflow open science
- License (for files):
- Creative Commons Attribution 4.0 International