Lesson Open Access
r-cubed: Reproducible Research in R - An Intermediate Workshop on Modern Approaches and Workflows to Processing Data
Johnston, Luke;
Silverman-Retana, Omar;
Eiset, Andreas;
Storgaard, Signe
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 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 details on the course, check out the website.
Files
(24.4 MB)
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r-cubed-intermediate.zip
md5:432ba77c85f00f1de2ef1f7a67bae42e |
24.4 MB | Download |
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| Views | 112 | 66 |
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| Data volume | 146.6 MB | 146.6 MB |
| Unique views | 97 | 57 |
| Unique downloads | 6 | 6 |
Indexed in
- Publication date:
- October 1, 2020
- DOI:
-
- Keyword(s):
- open education training rstats learning material teaching material open source open source education programming reproducible research reproducibility teaching data analysis data processing workshop
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- Compiled by
- Identical to
- License (for files):
- Creative Commons Attribution 4.0 International