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Dynamic Documents with R and knitr
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Dynamic Documents with R and knitr [Print Replica] [Format Kindle]

Yihui Xie

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Suitable for both beginners and advanced users, this book shows you how to write reports in simple languages such as Markdown. The reports range from homework, projects, exams, books, blogs, and web pages to any documents related to statistical graphics, computing, and data analysis. While familiarity with LaTeX and HTML is helpful, the book requires no prior experience with advanced programs or languages. For beginners, the text provides enough features to get started on basic applications. For power users, the last several chapters enable an understanding of the extensibility of the knitr package.

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Commentaires client les plus utiles sur (beta) 4.4 étoiles sur 5  8 commentaires
16 internautes sur 17 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Very helpful 16 octobre 2013
Par John Minter - Publié sur
Format:Broché|Achat vérifié
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.
8 internautes sur 10 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Excellent 1 novembre 2013
Par Dimitri Shvorob - Publié sur
It's a pleasure to see a carefully written, substantial book, but $57 is a difficult proposition, and I am not inclined to encourage CRC Hall's greedy pricing. (I am positive that they would have made more money selling the book for $20, my idea of its fair price). The built-in mini-manuals in R Studio, to get one started, and Yihui Xie's similarly impressive site provide the free alternative.
3 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Great context 2 décembre 2013
Par Will Beasley - Publié sur
Even if you've read everything on Yihui's knitr site ([...] his book provides a lot of context that it's difficult getting from the individual website pages.
3 internautes sur 4 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 An OK, but expensive book 29 janvier 2014
Par Ian Kaplan - Publié sur
Format:Broché|Achat vérifié
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.
2 internautes sur 3 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 The content is excellent, but the print quality is poor 18 janvier 2014
Par Dale Frakes - Publié sur
Format:Broché|Achat vérifié
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.
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