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

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