3240508
doi
10.5281/zenodo.3240508
oai:zenodo.org:3240508
Madeleine Bonsma-Fisher
University of Toronto
Joel Ostblom
University of Toronto
Ahmed Hasan
University of Toronto
James Santangelo
University of Toronto
Lindsay Coome
University of Toronto
Lina Tran
University of Toronto
Elliott Sales de Andrade
University of Toronto
Sara Mahallati
University of Toronto
UofTCoders/rcourse: Quantitative Methods in R for Biology
Luke W Johnston
Aarhus University, University of Toronto
url:https://github.com/UofTCoders/rcourse/tree/v2.2.0
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
R
programming
open source education
learning module
data analysis training
coding
statistics
ecology
<p>This material contains modular participatory live-coding lectures covering statistics and data analysis for ecology and reproducible quantitative methods in R. Statistical analysis, modelling, simulation, and data analysis are essential skills for applying ecology concepts to data. This material is designed to meet a growing demand for reproducible, openly accessible, analytically thorough, and well documented science.</p>
<p>Website: https://uoftcoders.github.io/rcourse/</p>
Zenodo
2019-06-06
info:eu-repo/semantics/lecture
1117432
v2.2.0
1559834957.862402
12433837
md5:5aa31495e619a1a0dc85d0dfdfdc51ae
https://zenodo.org/records/3240508/files/UofTCoders/rcourse-v2.2.0.zip
public
https://github.com/UofTCoders/rcourse/tree/v2.2.0
Is supplement to
url
10.5281/zenodo.1117432
isVersionOf
doi