Dynamic Documents with R and knitr, Second Edition
Dynamic Documents with R and knitr, Second Edition by Yihui Xie, published by Taylor & Francis on June 22, 2015, is a comprehensive guide designed to simplify the process of writing statistical reports. This edition, comprising 294 pages, is suitable for both beginners and advanced users, integrating computing with reporting to facilitate the creation of various documents, including homework, projects, and web pages related to statistical graphics and data analysis.
Readers will find that this book covers essential applications for newcomers while also providing insights for experienced users on the extensibility of the knitr package. The second edition introduces a new chapter on R Markdown v2 and includes updates reflecting improvements in the knitr package. It also features new sections on generating tables, defining custom printing methods, and utilizing various engines for dynamic document generation, all aimed at enhancing productivity in statistical report writing and ensuring reproducibility in scientific computing with R.
Official synopsis Publisher
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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