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Learning R [Anglais] [Broché]

Richard Cotton

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Amazon.com: 3.2 étoiles sur 5  5 commentaires
17 internautes sur 20 ont trouvé ce commentaire utile 
2.0 étoiles sur 5 There are better options now 1 novembre 2013
Par Dimitri Shvorob - Publié sur Amazon.com
The low rating reflects my opinion of the book vis-à-vis the alternatives, not its merits when viewed on its own. My original review was actually robust four stars; I did point to a book which, in my opinion, was a better proposition than "Learning R" - "R in Action" by Robert Kabacoff - but acknowledged a few areas where "Learning R" had the edge. Then "R for Everyone" by Jared Lander came out and, what can I say, I see "R in Action" and "R for Everyone" as the two plausible beginner-to-intermediate-R-book choices, and "Learning R" a very distant third.
1 internautes sur 1 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Why Such a Low Rating? 3 juin 2014
Par Kim Jong Un - Publié sur Amazon.com
Format:Format Kindle
I was going to give a four-star rating on this book, but seeing all these one and two stars made me give five instead. As someone starting out with R, you shouldn't expect book like this to read like a bible. Learning R is what it is -- a concise and easy tutorial for a beginning R student, and this is exactly what this book delivers. I see that some reviewers suggested R in Action or R for Everyone, and don't get me wrong those are excellent textbooks. The problem with those books is that they contain no exercises, and that could spell a major trouble for undisciplined learners like myself. Learning R, on the other hand, may not be the most comprehensive tome on the subject of R, but it does accomplish what it set out to do --- get started with R and move on to advanced R/data analysis topics -- by breaking down the contents into small chapters and providing review questions and exercises at the end of each chapter.
4 internautes sur 6 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Intro to the R language 20 novembre 2013
Par IADev - Publié sur Amazon.com
With a background as a developer, I found this book very approachable having not touched R before this book. It remained close to the R language itself and did not veer too deep into statistics. For a programmer new to the language and the topic, I was fine with the subject matter depth. I really liked that the end of each chapter included a quiz as well as exercise portions. The answers are included as part of the Appendix and I think are a good reminder to readers to try out what they just learned. Part of learning new languages is finding about different concepts or how data structures are implemented with different names, functions, or packages. Newer topics to me were data frames and factors. These concepts are explained very well and allowed for me to quickly apply existing knowledge from other languages to make the concepts clear. In my opinion, I really liked the chapters involving getting data and on cleaning and transforming. These chapters are very practical and apply to anyone who has had to parse data in one format to put it into another. Topics like loading packages and data and time coverage are sections that you would expect to be in a book for beginners new to the language and hint at the audience this book is geared toward. It is a good starting point for those totally new to the language who will use this as a foundation to dig deeper for specific tasks later.

Overall conclusion: Good for the programmer interested in learning the R language over in-depth statistics.
Disclaimer: I got a copy of this book for review as part of O'Reilly blogger program.
1 internautes sur 2 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 I like it 12 décembre 2013
Par chrisinsouthphx - Publié sur Amazon.com
Format:Broché|Achat vérifié
Very good book.. easy to read and follow.. well worth the price if you'd like to work with R, and I have a few R books already. I really like how he gives his opinion and takes a stand on whether to use some functions over others.. i only wish he didn't spend time talking about the worse way to do it... just give me the best.. which he eventually does.
2 internautes sur 5 ont trouvé ce commentaire utile 
1.0 étoiles sur 5 A slow-motion guide to just the basic syntax of R 24 décembre 2013
Par D N - Publié sur Amazon.com
Format:Format Kindle
If you read this book having no real background in R, you will finish wondering why anyone would ever to bother to use R in the data science world -- it just looks like a clunky, slow, not very well-designed language. That is an enormous misconception and a huge failing in this book.

The power of R is all about the built-in statistics tools -- targeted directly at people who want to crunch data in an interactive environment in a more streamlined way than they can in python, say, or Java. For an example of a book that does it right, look at "The R Book" by Michael Cawley -- 800 pages of glorious statistical use cases, reflecting the actual usage of R. "Learning R", on the other hand, just barely gets to basic linear regression...in Chapter 15! Of a 17-chapter book! On R!

Go get "The R book". It actually covers everything in "Learning R" in the first 2-3 chapters, at which point it moves on to the real stuff. The only person who would benefit from this book would be someone completely new to computers altogether, at which point I would think that R would be the wrong place to start anyway.
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