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Uoftcoders/Rcourse: Eeb430H1 Theoretical Ecology And Reproducible Quantitative Methods In R, Fall 2017

appsOther research productkeyboard_double_arrow_right InteractiveResource 18 Dec 2017Publisher:Zenodo
Authors: Luke W Johnston; Joel Ostblom; Madeleine Bonsma; Elliott Sales de Andrade; Lina Tran; Lindsay Coome;

doi: 10.5281/zenodo.1117433

Uoftcoders/Rcourse: Eeb430H1 Theoretical Ecology And Reproducible Quantitative Methods In R, Fall 2017

Abstract

This is the final course content for Fall 2017. A great first year! Check the course website: https://uoftcoders.github.io/rcourse/

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Keywords

data analysis, open science, R, course material, open scientific workflow, ecology and evolutionary biology, rstats

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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