Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Reproducible Research with R and R Studio - Christopher Gandrud

Reproducible Research with R and R Studio

Buch | Softcover
294 Seiten
2013
Crc Press Inc (Verlag)
978-1-4665-7284-3 (ISBN)
CHF 85,50 inkl. MwSt
zur Neuauflage
  • Titel erscheint in neuer Auflage
  • Artikel merken
Zu diesem Artikel existiert eine Nachauflage
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.

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.

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

Reihe/Serie Chapman & Hall/CRC: The R Series
Zusatzinfo 16 Tables, black and white; 33 Illustrations, black and white
Verlagsort Bosa Roca
Sprache englisch
Maße 156 x 234 mm
Gewicht 454 g
Themenwelt Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Naturwissenschaften Biologie
ISBN-10 1-4665-7284-1 / 1466572841
ISBN-13 978-1-4665-7284-3 / 9781466572843
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich