Christopher Gandrud

Reproducible Research with R and RStudio (eBook, PDF)

• Format: PDF

Produktbeschreibung

Brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 298
• Erscheinungstermin: 21. Februar 2020
• Englisch
• ISBN-13: 9780429629594
• Artikelnr.: 58696974

Autorenporträt

Christopher Gandrud is Head of Economics and Experimentation at Zalando SE where he leads teams of social data scientists and software engineers building large scale automated decision-making systems. He was previously a research fellow at the Institute for Quantitative Social Science, Harvard University developing statistical software for the social and physical sciences. He has published many articles in peer-reviewed journals, including the Journal of Common Market Studies, Review of International Political Economy, Political Science Research and Methods, Journal of Statistical Software, and International Political Science Review. He earned a PhD in quantitative political science from the London School of Economics.

Inhaltsangabe

Introducing Reproducible Research. Getting Started with Reproducible Research. Getting Started with R, RStudio, and knitr/R Markdown. Getting Started with File Management. Storing, Collaborating, Accessing Files, and Versioning. Gathering Data with R. Preparing Data for Analysis. Statistical Modeling and knitr/R Markdown. Showing Results with Tables. Showing Results with Figures. Presenting with LaTeX. Presenting in a Variety of Formats with R Markdown. Conclusion.

Rezensionen

I recommend this book for students studying statistical sciences, individuals beginning their research career, and advanced researchers looking to up their reproducibility game. I am thrilled to have this resource for my own lab and indent on having my students follow the recommendations within closely.

- Lucy D'Agostino McGowan, Biometrics, 2020, Volume 76, Issue 4

In summary, I found this book to be a very good introduction to R and reproducible research, one that I can certainly recommend.

- Anikó Lovik, International Society for Clinical Biostatistics, June 2021 Number 71