章节目录
Introduction Reproducible Research Literature Good and Bad Practices Barriers A First Look Setup Minimal Examples Quick Reporting Extracting R Code Editors RStudio LYX Emacs/ESS Other Editors Document Formats Input Syntax Document Formats Output Renderers R Scripts Text Output Inline Output Chunk Output Tables Automatic Printing Themes Graphics Graphical Devices Plot Recording Plot Rearrangement Plot Size in Output Extra Output Options The tikz Device Figure Environment Figure Path Cache Implementation Write Cache When to Update Cache Side Effects Chunk Dependencies Load Cache Manually Other Options Cross Reference Chunk Reference Code Externalization Child Documents Hooks Chunk Hooks Examples Language Engines Design Languages and Tools Persistent Sessions Tricks and Solutions Chunk Options Package Options Typesetting Utilities Debugging Multilingual Support Publishing Reports RStudio Pandoc HTML5 Slides Jekyll WordPress 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 Applications Homework Serve Dynamic Documents Web Site and Blogging Package Vignettes Books Literate Programming for R Packages Other Tools Sweave Other R Packages Python Packages More Tools Appendix: Internals Bibliography Index
内容简介
Features · Provides an authoritative and comprehensive guide to the knitr package in R · Emphasizes reproducible research · Covers both simple examples and full applications, from homework to websites to books · Describes a wide range of options, useful tricks, and solutions · Explains the internal design and extensions of the knitr package · Offers demos and other information about the package on the author's website Summary Quickly and Easily Write Dynamic Documents 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 · A new chapter that introduces R Markdown v2 · Changes that reflect improvements in the knitr package · 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 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.
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