Please use this identifier to cite or link to this item:
https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/765
Title: | Quantitative Methods in R for Biology Course |
Authors: | Bonsma-Fisher, Madeleine Coome, Lindsay Johnston, Luke Mahallati, Sara Östblom, Joel Sales de Andrade, Elliott Tran, Lina Santangelo, James Hasan, Ahmed Humphries, Zoe Hoi, Amber |
Keywords: | Ecology Statistical analysis Data simulation |
Issue Date: | 6-Jun-2019 |
Abstract: | Quantitative Methods in R for Biology is a course aimed at undergraduates at a third year level or above. The course covers statistics and data analysis for ecology and reproducible quantitative methods in R. Statistical analysis, modelling, and data simulation are essential skills for ecologists and evolutionary biologists. Furthermore, ever larger datasets are quickly becoming the norm in a variety of scientific disciplines. This course is therefore designed to meet a growing demand for reproducible, openly accessible, analytically thorough, and well-documented science. Students will learn to develop ecological population models, analyze large datasets, and document their research using the R programming language. No prior programming experience is required. |
URI: | https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/765 |
Other Identifiers: | 5b163f43-e67b-433e-a8ca-4dc07570c4fa |
Appears in Collections: | Ontario OER Collection |
Files in This Item:
File | Size | Format | |
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rcourse-master.zip | 21.68 MB | zip | View/Open |
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