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Dynamic Documents With R and Knitr (Chapman & Hall/CRC The R Series) 1st Edition

4.1 4.1 out of 5 stars 12 ratings

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Xie, Yihui

Editorial Reviews

Review

"… 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

Product details

  • Publisher ‏ : ‎ Chapman and Hall/CRC; 1st edition (July 26, 2013)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 216 pages
  • ISBN-10 ‏ : ‎ 1482203537
  • ISBN-13 ‏ : ‎ 978-1482203530
  • Item Weight ‏ : ‎ 12.8 ounces
  • Dimensions ‏ : ‎ 6 x 0.75 x 9 inches
  • Customer Reviews:
    4.1 4.1 out of 5 stars 12 ratings

About the author

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Yihui Xie
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Yihui Xie (https://yihui.org) is a software engineer at RStudio. He earned his PhD from the Department of Statistics, Iowa State University. His research interests include interactive statistical graphics and statistical computing. He is an active R user and the author of several R packages, such as animation, formatR, Rd2roxygen, knitr, bookdown, blogdown, rmarkdown, leaflet, and so on, among which the animation package won the 2009 John M. Chambers Statistical Software Award (ASA), and the knitr package was awarded the "Honorable Mention" prize in the "Applications of R in Business Contest 2012" thanks to Revolution Analytics.

In 2006 he founded the "Capital of Statistics" (https://cosx.org), which has grown into a large online community on statistics in China. He initiated the first Chinese R conference in 2008 and has been organizing R conferences in China since then. During his PhD training at the Iowa State University, he won the Vince Sposito Statistical Computing Award (2011) and the Snedecor Award (2012) in the Department of Statistics.

Customer reviews

4.1 out of 5 stars
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Customers say

Customers find the book helpful and useful for creating and publishing reproducible research. They appreciate the clear content, attractive documents, and simple examples. The writing quality is described as excellent and clunky in some parts, but it improves in the first couple of chapters.

AI-generated from the text of customer reviews

9 customers mention "Information quality"9 positive0 negative

Customers find the book helpful for creating and publishing reproducible research. They appreciate the excellent content, useful pointers, guides to creating Knitr documents, and references for dynamic documents. The introductory chapters help them get started, and the developers' web pages provide more detailed information.

"...I found the book to be helpful...." Read more

"...There are a some useful pointers but I am constantly looking on-line rather than in the book to answer questions about "how do I do X with Knitr and..." Read more

"Good HOWTO, clunky writing -- nothing much more to say...." Read more

"...knitr is an indispensible tool and this book is a very helpful guide to its use." Read more

5 customers mention "Attractive content"5 positive0 negative

Customers find the book's content engaging. It provides a useful tool for producing beautiful documents without using LaTeX. They appreciate the high-quality printing and crisp figures and code samples.

"...This book shows how to create attractive documents that include "code chunks" that produce the figures and statistical analyses using the..." Read more

"...The result is also very attractive...." Read more

"...knitr is a great way of producing beautiful documents without resorting to LaTeX for the graphs and other elements at which R programming..." Read more

"...Baseball Data with R" has very high quality printing, with crisp figures and code samples that are much easier to read...." Read more

3 customers mention "Writing quality"3 positive0 negative

Customers appreciate the book's writing quality. They find the examples and code samples simple and easy to read. The book introduces dynamic documents and reproducible research.

"...quality printing, with crisp figures and code samples that are much easier to read. It's as if C&H decided to go cheap on printing this book...." Read more

"...I have been introduced to writing dynamic documents and particularly Reproducible Research by Xie...." Read more

"Good HOWTO, clunky writing..." Read more

Top reviews from the United States

  • Reviewed in the United States on October 16, 2013
    Yihui Xie has done a great service for those of us interested in producing reproducible analyses. This book shows how to create attractive documents that include "code chunks" that produce the figures and statistical analyses using the Open Source statistical/data analysis language "R" and the "knitr" package (also Open Source) that he wrote.

    This approach was pioneered by Donald Knuth of Stanford. Knitr is extremely powerful, able to generate documents in HTML ready for the web or as PDF ready for a client (or to turn in for a class assignment). The document source files (R markdown .Rmd files or LaTeX/Sweave .Rnw files) can be given to a coworker or friend to let them "see the math." It is also a great way to avoid the embarrassment that comes with the errors that so easily creep in when using software like Excel and revisions are much less painful (no point/click/copy/paste or worry that you are using the wrong version of a file.

    Happily, the publisher has finally released a Kindle edition. This is especially important for software books where revisions limit the useful life. I found the book to be helpful. Even though much of the information is available online, I also purchased the book to support the author for the work he has done building a quality product that he released Open Source and supports with what appears to be tireless energy. Disclaimer: I have no financial interest in this. I am simply a happy user of knitr and R with the Open Source R-Studio IDE and think this is a good way to support the authors of the tools I use.
    23 people found this helpful
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  • Reviewed in the United States on January 29, 2014
    I think that its safe to say that many of us who use Knitr are grateful for the work that Yihui Xie (the author) and others have done to make Knitr available to the R community. Knitr is a very important resource for creating and publishing reproducible research. Which makes this review a challenge since I want to thank the author for his work, but I'm not that wild about the book.

    I have been using Knitr for several months, on two projects, one in finance (models for predicting portfolio return using value factors) and one in machine learning. I find that when I work on a large analysis code it is easy to get lost in the code and forget what the pieces do. By including the LaTex text along with the R code I not only get reproducible research, but I get code that is easier to follow (although the mix of LaTex and R has its own problems).

    The result is also very attractive. The PDF documents that can be produced with Knitr are much more attractive than documents created with Open Office or Word.

    Dynamic Documents with R and Knitr has some good introductory chapters that help you get started. There are a few good guides to creating Knitr documents. If this short book were not $56.95 and if the author got to keep a significant fraction of the money, I would be happier with the book. But it is a short book that is very expensive and my suspicion is that the author only gets a tiny fraction of the cost of the book.

    What would have been more useful is a book that included the introductory chapters and then had more Knitr cookbook recipes. There are a some useful pointers but I am constantly looking on-line rather than in the book to answer questions about "how do I do X with Knitr and LaTex". Any significant Knitr paper will have been the result of many searches for material that can't be found in the book.
    14 people found this helpful
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  • Reviewed in the United States on May 18, 2014
    Good HOWTO, clunky writing -- nothing much more to say. The author's web site lacks examples, and it's obvious that he put all his effort in setting the examples for the book.

    If you are using R for creating dashboards, scientific papers, or Big Data reports, this book is a great investment. It assumes you're a rather technical person, and have enough experience in R. Its reliance on Emacs as the programmers editor of choice was also a turn off. A more rounded book would've either left the editor's choice to the developer, or would've covered Vim and a modern editor (TextMate, Sublime Text) in more depth, since the examples do rely on heavy automation.

    knitr is a great way of producing beautiful documents without resorting to LaTeX for the graphs and other elements at which R programming excels.

    This review was for a rental version of the book (via Kindle).

    Cheers!
  • Reviewed in the United States on February 16, 2014
    knitr comes packaged with RStudio but is also part of LyX and other editors.

    knitr allows you to incorporate R, Python and other live code snippets in a document. I use LaTeX and I find that the combination is a huge step up from the prior world of cut and paste. Of course MATLAB isn't part of the system, being a closed commercial system, but I compensate by using the {listings} package and pulling in pdf versions of graphs.

    knitr is an indispensible tool and this book is a very helpful guide to its use.
  • Reviewed in the United States on January 18, 2014
    I've read through the first couple of chapters and Xie's writing is excellent and the examples are simple and clear. I think this book will be very helpful as I build my workflow for my masters thesis.

    However, the print quality of my copy of the book is very poor. It looks like something printed on a laser printer in "toner saver" mode and with dead spots on the drum (leaving streaks through parts of the text). Code samples are difficult to read because the text is light colored on streaky gray backgrounds. This is definitely not the quality I expect in a $60 book.

    In contrast my copy of "Analyzing Baseball Data with R" has very high quality printing, with crisp figures and code samples that are much easier to read. It's as if C&H decided to go cheap on printing this book. I saw the same problem with "Reproducible Research" by Christopher Gandrud, and his comment in his review section provided information to contact the publisher for a replacement. I hope that will work for this book too.
    4 people found this helpful
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  • Reviewed in the United States on April 21, 2015
    nice reference for dynamic documents
  • Reviewed in the United States on November 14, 2015
    Nice and concise, though I would have liked a bit more detail and examples when it came to hooks.

Top reviews from other countries

  • dacarras
    5.0 out of 5 stars Really practical and complete
    Reviewed in the United Kingdom on November 17, 2013
    In spite of this Book being specific for the use of the R package knitr; it has the big advantage of working as well as a gentle introduction to R.

    Knitr package aims is to make it easier for the user to document his work. This consists to create a unique record to contain the product of an analysis and how was done at same time. On top of it, this principle would be the stepping stone to create dynamic reports: reports which required to be done monthly for example (because more or different data is available in a time frame fashion), and/or reports for several units which presents similar data (e.g. schools, branches, cities, airlines, etc).

    Is very practical and clear for a novice user. I recommend this book with no doubt.
  • Pieta Schofield
    3.0 out of 5 stars The subject matter is good though much of it is available online electronically in ...
    Reviewed in the United Kingdom on September 11, 2014
    I accidentally bought the kindle version and I am wishing I had the book. The subject matter is good though much of it is available online electronically in various places, which is why I am regretting having an electronic rather than a physical copy. I also haven't found a kindle reader platform I get on with yet.