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: Madeleine Bonsma-Fisher
Lindsay Coome
Luke Johnston
Sara Mahallati
Joel Östblom
Elliott Sales de Andrade
Lina Tran
James Santangelo
Ahmed Hasan
Zoe Humphries
Amber Hoi
Keywords: Ecology
Statistical analysis
Data simulation
Issue Date: 6-Jun-2019
Publisher: University of Toronto Coders
Description: 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. <br><br> 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
Appears in Collections:Ontario OER Collection

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