Lesson Open Access
UofTCoders/rcourse: Quantitative Methods in R for Biology
Luke W Johnston;
Madeleine Bonsma-Fisher;
Joel Ostblom;
Ahmed Hasan;
James Santangelo;
Lindsay Coome;
Lina Tran;
Elliott Sales de Andrade;
Sara Mahallati
This material contains modular participatory live-coding lectures covering statistics and data analysis for ecology and reproducible quantitative methods in R. Statistical analysis, modelling, simulation, and data analysis are essential skills for applying ecology concepts to data. This material is designed to meet a growing demand for reproducible, openly accessible, analytically thorough, and well documented science.
Website: https://uoftcoders.github.io/rcourse/
Files
(12.4 MB)
| Name | Size | |
|---|---|---|
|
UofTCoders/rcourse-v2.2.0.zip
md5:5aa31495e619a1a0dc85d0dfdfdc51ae |
12.4 MB | Download |
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| All versions | This version | |
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| Views | 501 | 177 |
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| Data volume | 914.3 MB | 286.0 MB |
| Unique views | 442 | 170 |
| Unique downloads | 50 | 22 |
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- Publication date:
- June 6, 2019
- DOI:
-
- Keyword(s):
- R programming open source education learning module data analysis training coding statistics ecology
- Related identifiers:
- Supplement to
- License (for files):
- Creative Commons Attribution 4.0 International