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Dynamic documents with R and knitr

By: Xie, Yihui.
Material type: materialTypeLabelBookSeries: Chapman and Hall/CRC The R series. Publisher: Boca Raton CRC Press 2015Edition: 2nd ed.Description: xxvii, 266 p.ISBN: 9781498716963.Subject(s): Statistics - Data processing | Mathematical statistics - Computer programs | Technical writing - Data processing | Technical writing - Computer programs | R (Computer program language)DDC classification: 005.133 Summary: Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and web pages to virtually any documents related to statistical graphics, computing, and data analysis. The book covers basic applications for beginners while guiding power users in understanding the extensibility of the knitr package. New to the Second Edition 1. A new chapter that introduces R Markdown v2 2. Changes that reflect improvements in the knitr package 3. New sections on generating tables, defining custom printing methods for objects in code chunks, the C/Fortran engines, the Stan engine, running engines in a persistent session, and starting a local server to serve dynamic documents 4. Boost Your Productivity in Statistical Report Writing and Make Your Scientific Computing with R Reproducible Like its highly praised predecessor, this edition shows you how to improve your efficiency in writing reports. The book takes you from program output to publication-quality reports, helping you fine-tune every aspect of your report. (https://www.crcpress.com/Dynamic-Documents-with-R-and-knitr-Second-Edition/Xie/9781498716963)
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Table of Contents:

1. Introduction

2. Reproducible Research

• Literature
• Good and Bad Practices
• Barriers

3. A First Look

• Setup
• Minimal Examples
• Quick Reporting
• Extracting R Code

4. Editors

• RStudio
• LYX
• Emacs/ESS
• Other Editors

5. Document Formats

• Input Syntax
• Document Formats
• Output Renderers
• R Scripts

6. Text Output

• Inline Output
• Chunk Output
• Tables
• Automatic Printing
• Themes

7. Graphics

• Graphical Devices
• Plot Recording
• Plot Rearrangement
• Plot Size in Output
• Extra Output Options
• The tikz Device
• Figure Environment
• Figure Path

8. Cache

• Implementation
• Write Cache
• When to Update Cache
• Side Effects
• Chunk Dependencies
• Load Cache Manually
• Other Options

9. Cross Reference

• Chunk Reference
• Code Externalization
• Child Documents

10. Hooks

• Chunk Hooks
• Examples

11. Language Engines

• Design
• Languages and Tools
• Persistent Sessions

12. Tricks and Solutions

• Chunk Options
• Package Options
• Typesetting
• Utilities
• Debugging
• Multilingual Support

13. Publishing Reports

• RStudio
• Pandoc
• HTML5 Slides
• Jekyll
• WordPress

14. R Markdown

• Overview
• Pandoc’s Markdown Extensions
• Output Formats
• Interactive Documents with Shiny
• Extending R Markdown v2
• Changes in R Markdown from v1 to v2

15. Applications

• Homework
• Serve Dynamic Documents
• Web Site and Blogging
• Package Vignettes
• Books
• Literate Programming for R Packages

16. Other Tools

• Sweave
• Other R Packages
• Python Packages
• More Tools

Appendix: Internals

Bibliography

Index

Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and web pages to virtually any documents related to statistical graphics, computing, and data analysis. The book covers basic applications for beginners while guiding power users in understanding the extensibility of the knitr package.
New to the Second Edition
1. A new chapter that introduces R Markdown v2

2. Changes that reflect improvements in the knitr package

3. New sections on generating tables, defining custom printing methods for objects in code chunks, the C/Fortran engines, the Stan engine, running engines in a persistent session, and starting a local server to serve dynamic documents

4. Boost Your Productivity in Statistical Report Writing and Make Your Scientific Computing with R Reproducible

Like its highly praised predecessor, this edition shows you how to improve your efficiency in writing reports. The book takes you from program output to publication-quality reports, helping you fine-tune every aspect of your report.


(https://www.crcpress.com/Dynamic-Documents-with-R-and-knitr-Second-Edition/Xie/9781498716963)

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