Lesson Open Access
r-cubed: Guiding the overwhelmed scientist from random wrangling to Reproducible Research in R
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.
Files
(17.3 MB)
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r-cubed-v2022.03.zip
md5:0863919e33fd78cf906e910849f694f4 |
17.3 MB | Download |
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| Views | 251 | 13 |
| Downloads | 25 | 2 |
| Data volume | 463.3 MB | 34.6 MB |
| Unique views | 192 | 13 |
| Unique downloads | 24 | 2 |
Indexed in
- Publication date:
- March 1, 2022
- DOI:
-
- Keyword(s):
- open education rstats reproducible research teaching data analysis workshop teaching material teaching resource
- Related identifiers:
- Compiles
- Identical to
- New versions
- 10.5281/zenodo.3921893 (Lesson)
- License (for files):
- Creative Commons Attribution 4.0 International