Icon Legend:
Type:
course
video
exo
open book
book
article
git repo
website
level:
begin intermediate advanced
Reproducibility & replicability
| Reproducible science workshop O Gimenez – A full overview to start making your analyses reproducible |
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| A better approach for dealing with reproducibility and replicability in science JD Nichols et al. – An opinion paper to emphasise the need for replicability in addition to reproducibility |
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| A Beginner’s Guide to Conducting Reproducible Research JM Alston & JA Rick – Describe why we should and and how we can conduct reproducible research |
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| Comments on reproducibility K Broman – Some do’s and don’ts for improving reproducibility when using R Markdown |
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| Computational notebooks L Figueiredo, C Scherer, A T Navarro – A simple kit to use computational notebooks |
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| Jupyterhub – Interactive environment for notebooks, code, and data |
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| Best practices for accessible and reproducible code L Graham, A Halbritter, F Frassinelli – Open science lab on writing accessible and reproducible code |
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| A guide to reproducible code in ecology and evolution British Ecological Society – Basic tools and information for more reproducible code |
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For links on tidyverse, to help code reproducibility, see section Data Manipulation in Basics section.
R Markdown & bookdown
| Using R Markdown in RStudio R Peng – A quick demo on R markdown in RStudio |
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| Getting started with R Markdown G Grolemund & RStudio – A detailed webinar on using R Markdown |
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| R Markdown: The Definitive Guide Y Xie, J J Allaire, G Grolemund – A complete and introducing reference book to use R Markdown |
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| R Markdown Cookbook Y Xie, C Dervieux, E Riederer – A practical reference book for R Markdown |
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| bookdown: Authoring Books and Technical Documents with R Markdown Y Xie – A complete reference book for R bookdown |
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| Tables generator – Create a markdown table |
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Git & GitHub
| Happy Git and GitHub for the useR – Learn how to start and integrate git into your daily work with R and Markdown |
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| Github Docs – Official documentation |
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Ethics
| ASA Statement on Statistical Significance and P-Values RL Wasserstein & American Statistical Association – Six principles underlying the proper use and interpretation of the p-value |
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| Ethical Guidelines for Statistical Practice – Valuable advice for anyone who engage in statistical practice |
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| Ten simple rules for good research practice S Schwab – Good research practices for planning, execution, and reporting of research |
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Open science
| SORTEE Society for Open, Reliable, and Transparent Ecology and Evolutionary biology |
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| The TOP Guidelines Center for Open Science - OSF |
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