"... a great source for beginners and advanced users of knitr alike. The author writes with much wit and charm. ... a valuable resource for everybody who is interested in reproducible research in general and who wants to easily generate reproducible reports in particular, i.e., a must read for every applied statistician! Learning knitr and getting some tips and tricks is, most of the time, easy and fun with this book."
―ISCB News, 59, June 2015
"After reading Dynamic Documents with R and knitr, ... I became a fan of this package and its flexibility. The book is written in a conversational style that gives a clear and practical introduction to knitr for both beginners and advanced users. ... Compared with Sweave, knitr is more powerful. ... Furthermore, knitr is more flexible than Sweave. ... Most impressively, caching can be incorporated in a simple way by knitr. ... The book is readable with a clear overall structure. ... this book allows us to enhance our knowledge of knitr’s usage and quickly find what we want."
―The American Statistician, February 2015
"The book provides a systematic description of the package [knitr], including its concepts, design principles, and philosophy. It also has many examples, well-thought out advice, and useful tips and tricks. ... The book is well written. It has introductory material useful for novices as well as advice for more seasoned users, all explained in conversational English without unnecessary technical jargon. ... While I have been using Sweave and then knitr for several years, I still learned many new useful things from the book. ... the book deserves a place on the bookshelves of both new and experienced R and TeX users."
―Boris Veytsman, TUGboat, Volume 35, 2014
"If you are looking to learn how to use knitr, this book is for you. There are a limited number of resources for learning knitr because the package is relatively new and the documentation produced by Xie is so good. ... I think this book will continue to be the best resource about knitr ...easy to understand ... this is a great read and handy desk reference for the regular knitr user."
―Journal of Statistical Software, January 2014
"Three recent books have significantly influenced how I use R in reproducible work: Dynamic Documents with R and knitr by Yihui Xie, Reproducible Research with R and RStudio by Christopher Gandrud, and Implementing Reproducible Research edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng ... I recommend all three books to R users at any level. There really is something here for everyone."
―Richard Layton, PhD, PE, Rose-Hulman Institute of Technology, Terre Haute, Indiana, USA
