Dynamic Documents with R and knitr

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A01=Yihui Xie
advanced report publishing
Author_Yihui Xie
Category=PBT
Category=UFM
Chunk Header
Chunk Label
Chunk Option
Chunk Option Fig
Chunk Output
Code Chunk
computational reproducibility
data visualization techniques
dynamic report generation
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Hook Function
Html Document
Html File
Html Output
Html Page
Html Widget
knitr
Knitr Package
LaTeX
literate programming
Markdown
Markdown Document
Pandoc's Markdown
Pandoc’s Markdown
PDF Document
PHP
Previous Chunks
programming for research
R language
R Markdown
Reproducible Re-search
reproducible research
reproducible statistical workflow in R
Rmd Document
Rmd Files
RStudio
scientific report automation
Source Code
Source Document
statistical data analysis
White Space

Product details

  • ISBN 9781498716963
  • Weight: 408g
  • Dimensions: 156 x 234mm
  • Publication Date: 22 Jun 2015
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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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.

Yihui Xie is a software engineer at RStudio. He earned a PhD from the Department of Statistics at Iowa State University. His research focuses on interactive statistical graphics and statistical computing. He is an active R user and the author of several award-winning R packages, such as animation, formatR, Rd2roxygen, and knitr. He is also the founder of "Capital of Statistics," a large online statistics community in China.

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