Name: Reproducible Research with R and R Studio von Christopher Gandrud (City University, London)
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Reproducible Research with R and R Studio Zusammenfassung

Reproducible Research with R and R Studio Christopher Gandrud (City University, London)

Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data analysis, and the presentation of results.

With straightforward examples, the book takes you through a reproducible research workflow, showing you how to use:

R for dynamic data gathering and automated results presentation
knitr for combining statistical analysis and results into one document
LaTeX for creating PDF articles and slide shows, and Markdown and HTML for presenting results on the web
Cloud storage and versioning services that can store data, code, and presentation files; save previous versions of the files; and make the information widely available
Unix-like shell programs for compiling large projects and converting documents from one markup language to another
RStudio to tightly integrate reproducible research tools in one place

Whether you're an advanced user or just getting started with tools such as R and LaTeX, this book saves you time searching for information and helps you successfully carry out computational research. It provides a practical reproducible research workflow that you can use to gather and analyze data as well as dynamically present results in print and on the web. Supplementary files used for the examples and a reproducible research project are available on the author's website.

Reproducible Research with R and R Studio Bewertungen

"... a very practical book that teaches good practice in organizing reproducible data analysis and comes with a series of examples. ... an extremely valuable overview of the current capabilities of R, RStudio, and related software tools for reproducible research. I recommend this book to anyone who wants to learn more about these fascinating tools."
-Biometrical Journal, 2014

"Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way. ... the readers who will get the most use from this book are those are already working in R and just need a way to organize their work. That being said, advanced undergraduate students in mathematics, statistics, and similar fields as well as students just beginning their graduate studies would benefit the most from reading this book. Many more experienced R users or second-year graduate students might find themselves thinking, `I wish I'd read this book at the start of my studies, when I was first learning R!' ... a good text for beginning graduate students or advanced undergraduate students who are just starting to do technical research. ... This book could be used as the main text for a class on reproducible research ..."
-The American Statistician, November 2014

"Three recent books have significantly influenced how I use R in reproducible work: Dynamic Documents with R and knitr by Yihui Xie, Reproducible Research with R and RStudio by Christopher Gandrud, and Implementing Reproducible Research edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng ... I recommend all three books to R users at any level. There really is something here for everyone."
-Richard Layton, PhD, PE, Rose-Hulman Institute of Technology, Terre Haute, Indiana, USA

"this book addresses all types of researchers in the field of life sciences: from biology to genetics and the social sciences, from epidemiology to medicine, and beyond. What is interesting about it is that it addresses newcomers in the field of research, upper level undergraduates, but also more experienced researchers. Furthermore, it can be used reading from the first page to the last one, step-by-step, like a textbook, or it can be addressed by experienced researchers only in specific parts. It is self-sufficient, containing everything for researchers interested in performing reproducible research . . . As a conclusion, I recommend the use of this book for beginners, but also for more advanced users, since the information presented by this book is detailed, useful and interesting."
-Costela Serban, International Society for Clinical Biostatistics

Über Christopher Gandrud (City University, London)

Christopher Gandrud is a research associate at the Hertie School of Governance. He was previously a lecturer of international relations at Yonsei University and a fellow in government at the London School of Economics (LSE). He has published articles on political economy and quantitative methods in the Review of International Political Economy and the International Political Science Review. He earned a PhD in political science from the LSE.

Inhaltsverzeichnis

Getting Started
Introducing Reproducible Research
What Is Reproducible Research?
Why Should Research Be Reproducible?
Who Should Read This Book?
The Tools of Reproducible Research
Why Use R, knitr, and RStudio for Reproducible Research?
Book Overview

Getting Started with Reproducible Research
The Big Picture: A Workflow for Reproducible Research
Practical Tips for Reproducible Research

Getting Started with R, RStudio, and knitr
Using R: The Basics
Using RStudio
Using knitr: The Basics

Getting Started with File Management
File Paths and Naming Conventions
Organizing Your Research Project
Setting Directories as RStudio Projects
R File Manipulation Commands
Unix-like Shell Commands for File Management
File Navigation in RStudio

Data Gathering and Storage
Storing, Collaborating, Accessing Files, and Versioning
Saving Data in Reproducible Formats
Storing Your Files in the Cloud: Dropbox
Storing Your Files in the Cloud: GitHub
RStudio and GitHub

Gathering Data with R
Organize Your Data Gathering: Makefiles
Importing Locally Stored Data Sets
Importing Data Sets from the Internet
Advanced Automatic Data Gathering: Web Scraping

Preparing Data for Analysis
Cleaning Data for Merging
Merging Data Sets

Analysis and Results
Statistical Modeling and knitr
Incorporating Analyses into the Markup
Dynamically Including Modular Analysis Files
Reproducibly Random: set.seed
Computationally Intensive Analyses

Showing Results with Tables
Basic knitr Syntax for Tables
Table Basics
Creating Tables from R Objects

Showing Results with Figures
Including Non-knitted Graphics
Basic knitr Figure Options
Knitting R's Default Graphics
Including ggplot2 Graphics
JavaScript graphs with googleVis

Presentation Documents
Presenting with LaTeX
The Basics
Bibliographies with BibTeX
Presentations with LaTeX Beamer

Large LaTeX Documents: Theses, Books, and Batch Reports
Planning Large Documents
Large Documents with Traditional LaTeX
knitr and Large Documents
Child Documents in a Different Markup Language
Creating Batch Reports

Presenting on the Web with Markdown
The Basics
Markdown with Pandoc and Custom CSS
Slideshows with Markdown, knitr, and HTML
Publishing Markdown Documents

Conclusion
Citing Reproducible Research
Licensing Your Reproducible Research
Sharing Your Code in Packages
Project Development: Public or Private?
Is it Possible to Completely Future Proof Your Research?

Bibliography

Index

Zusätzliche Informationen

Sku

GOR009002483

ISBN 13

9781466572843

ISBN 10

1466572841

Titel

Reproducible Research with R and R Studio Christopher Gandrud (City University, London)

Autor

Christopher Gandrud (City University, London)

Serien

Chapman & Hall/CRC: The R Series

Zustand

Gebraucht - Sehr Gut

Bindung

Broschiert

Verlag

Taylor & Francis Inc

Datum

2013-08-21

Anzahl der Seiten

294

Preise

N/A

Begleitschreiben

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Hinweis

Dies ist ein gebrauchtes Buch. Es wurde schon einmal gelesen und weist von der früheren Nutzung Gebrauchsspuren auf. Wir gehen davon aus, dass es im Großen und Ganzen in einem sehr guten Zustand ist. Sollten Sie jedoch nicht vollständig zufrieden sein, setzen Sie sich bitte mit uns in Verbindung.