Please use this identifier to cite or link to this item: https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/765
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dc.contributor.authorBonsma-Fisher, Madeleine-
dc.contributor.authorCoome, Lindsay-
dc.contributor.authorJohnston, Luke-
dc.contributor.authorMahallati, Sara-
dc.contributor.authorÖstblom, Joel-
dc.contributor.authorSales de Andrade, Elliott-
dc.contributor.authorTran, Lina-
dc.contributor.authorSantangelo, James-
dc.contributor.authorHasan, Ahmed-
dc.contributor.authorHumphries, Zoe-
dc.contributor.authorHoi, Amber-
dc.creatorBonsma-Fisher, Madeleine-
dc.creatorCoome, Lindsay-
dc.creatorJohnston, Luke-
dc.creatorMahallati, Sara-
dc.creatorÖstblom, Joel-
dc.creatorSales de Andrade, Elliott-
dc.creatorTran, Lina-
dc.creatorSantangelo, James-
dc.creatorHasan, Ahmed-
dc.creatorHumphries, Zoe-
dc.creatorHoi, Amber-
dc.date.accessioned2020-08-20T22:45:39Z-
dc.date.available2020-08-20T22:45:39Z-
dc.date.issued2019-06-06-
dc.identifier5b163f43-e67b-433e-a8ca-4dc07570c4fa-
dc.identifier.urihttps://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/765-
dc.language.isoengen_US
dc.relation.isformatofhttps://uoftcoders.github.io/rcourse/index.html-
dc.relation.haspartInstructor Resources: Journal Article | https://jose.theoj.org/papers/10.21105/jose.00049-
dc.relation.haspartInstructor Resources: GitHub Repository | https://github.com/uoftcoders/rcourse-
dc.rightsCC BY | https://creativecommons.org/licenses/by/4.0/en_US
dc.subjectEcology-
dc.subjectStatistical analysis-
dc.subjectData simulation-
dc.titleQuantitative Methods in R for Biology Courseen_US
dc.typeLearning object-
dcterms.accessRightsOpen Access-
dcterms.educationLevelUniversity - Undergraduate-
dc.identifier.slughttps://openlibrary.ecampusontario.ca/catalogue/item/?id=5b163f43-e67b-433e-a8ca-4dc07570c4fa-
ecO-OER.AdoptedYes-
ecO-OER.AncillaryMaterialYes-
ecO-OER.InstitutionalAffiliationUniversity of Torontoen_US
ecO-OER.ISNI0000 0001 2157 2938-
ecO-OER.ReviewedNo-
ecO-OER.PODNo-
dc.identifier.doihttps://zenodo.org/badge/latestdoi/97400494-
ecO-OER.AccessibilityStatementUnknown-
lrmi.learningResourceTypeEducational Unit - Course-
lrmi.learningResourceTypeInstructional Object - Lecture Material-
lrmi.learningResourceTypeInstructional Object - Syllabus/Curriculum-
lrmi.learningResourceTypeAssessment - Measure/Instrument-
lrmi.learningResourceTypeAssessment - Formal Assessment-
ecO-OER.POD.compatibleNo-
dc.description.abstractQuantitative 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.en_US
dc.subject.otherSciences - Biology-
dc.subject.otherTechnology - Programming & Programs-
dc.subject.otherTechnology - Research & Data-
ecO-OER.ItemTypeAssessment-
ecO-OER.ItemTypeCourse-
ecO-OER.ItemTypeInstructional Object-
ecO-OER.MediaFormatOther (zipped archive)-
Appears in Collections:Ontario OER Collection

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