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R in Action (Englisch) Taschenbuch – 4. Juni 2015

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Produktinformation

  • Taschenbuch: 608 Seiten
  • Verlag: Manning Publications; Auflage: 2 Rev ed. (4. Juni 2015)
  • Sprache: Englisch
  • ISBN-10: 1617291382
  • ISBN-13: 978-1617291388
  • Größe und/oder Gewicht: 23,4 x 18,5 x 3 cm
  • Durchschnittliche Kundenbewertung: 5.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: Nr. 22.938 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)

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Über den Autor und weitere Mitwirkende

AUTHOR BIO Robert I. Kabacoff, is a research methodologist, statistical consultant, and software developer with over 25 years of experience working with organizations in health care, financial services, manufacturing, behavioral sciences, government, and academia. As Vice President of Research for Management Research Group, he provides research and statistical programming for organizations in North America, Western Europe, Africa, and the Pacific Rim. For the past four years, he has managed an R tutorial website that receives approximately 11,000 visitors a day.


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Von Tian Jundong am 22. Juli 2015
Format: Taschenbuch Verifizierter Kauf
The delivery was fast (ordered on July 11, and received the book on July 20, the 1st day suggested). Book was well-protected.
The invoice was attached very nicely.
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Amazon.com: 9 Rezensionen
15 von 15 Kunden fanden die folgende Rezension hilfreich
Reliably solid 28. Juni 2015
Von Dimitri Shvorob - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Back in 2011, I was an early enthusiast of "R in Action"'s first edition, praising the book as the only high-quality product in a growing field of R introductions rushing to market. (In the parallel universe of statistics-with-R books, "The R Book" by Crowley - now also in its second edition - reigned). In 2014, I revised my review, and reiterated my endorsement, but noted "R for Everyone" by Jared Lander as an appealing, "fresh" upstart rival. At that time, second edition of "R in Action" was already listed on Amazon as available for pre-order, but the release date kept being postponed. Having pre-ordered "R in Action" 2.0 in May 2014, I only got it in June 2015.

The changes from the first edition are helpfully summarized on page xxvii, but I will distinguish five strands. First, there is a nod to the computer-science (vs. "proper" statistics) sensibility, via addition of a chapter on clustering and another chapter on classification, discussing CART and SVM methods. Second, two new chapters deal with R as a programming language, with one chapter dedicated to package-building. Third, there is a new chapter on producing reports, focusing on, but not limited to, the capability of "rmarkdown" R package. Fourth, second edition boosts coverage of "ggplot2" package. Finally, statistics repertoire is expanded with a short chapter on (very basic) time-series analysis, relying on "forecast" R package.

I may have wished for a few different choices. The package-building chapter could have been dropped, and more space given to either statistics (one could say more about regression - maybe taking a page from "Modern Regression Techniques Using R" by Wright and London) or machine learning. I would introduce RStudio from the outset, not in an appendix. I would say goodbye to R's base graphics, and, like Lander, embrace "ggplot2", instead of relegating it to Chapter 19. I would give space to "data.table" - like "ggplot2", this is a necessity - and I would give more space to "plyr"-and-friends. Turning to Manning, I would ask them why Addison Wesley could publish "R for Everyone" in color, and still charge only 60% of the price of the black-and-white "R in Action". I would also draw their attention to a typo ("Stark Trek"?) in line 5 (!) of the book's preface. This slip-up is odd considering how long the book was delayed.

This criticism aside, "R in Action" is an excellent, well-thought-out and well-presented book, with second edition offering incremental but important changes from the first. In the field of "generalist" R books, two titles stand out - "R in Action" and "R for Everyone" - and "R in Action" is the heavier part of the duo.
3 von 3 Kunden fanden die folgende Rezension hilfreich
More than 200 pages of new materials have been added in this updated edition 1. Juli 2015
Von Si Dunn - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Whether data analysis is your field, your current major or your next career-change ambition, you likely need this book. Free and open source R is one of the world's most popular languages for data analysis and visualization. And Robert I. Kabacoff's updated new edition is, in my opinion, one of the top books out there for getting a handle on R. (I have used and previously reviewed several R how-to books.)

R is relatively easy to install on Windows, Mac OS X and Linux machines. But it is generally considered difficult to learn. Much of that is because of its rich abundance of features and packages, as well as its ability to create many types of graphs. "The base installation," Kabacoff writes, "provides hundreds of data-management, statistical, and graphical functions out of the box. But some of its most powerful features come from the thousands of extensions (packages) provided by contributing authors."

Kabacoff concedes: "It can be hard for new users to get a handle on what R is and what it can do." And: "Even the most experienced R user is surprised to learn about features they were unaware of."

R in Action, Second Edition, contains more than 200 pages of new material. And it is nicely structured to meet the needs of R beginners, as well as those of us who have some experience and want to gain more.

The book (579 pages in print format) is divided into five major parts. The first part, "Getting Started," takes the beginner from an installing and trying R to creating data sets, working with graphs, and managing data. Part 2, "Basic Methods,"focuses on graphical and statistical techniques for obtaining basic information about data." Part 3, "Intermediate Methods," moves the reader well beyond "describing the relationship between two variables." It introduces regression, analysis of variance, power analysis, intermediate graphs, and resampling statistics and bootstrapping. Part 4 presents "Advanced Methods," including generalized linear models, principal components and factor analysis, time series, cluster analysis, classification, and advanced methods for missing data. Part 5, meanwhile, offers how-to information for "Expanding Your Skills." The topics include: advanced graphics with ggplot2, advanced programming, creating a package, creating dynamic reports, and developing advanced graphics with the lattice program.

A key strength of R in Action is Kabacoff's use of generally short code examples to illustrate many of the ways that data can be entered, manipulated, analyzed and displayed in graphical form.

The first thing I did, however, was start at the very back of the book, Appendix G, and upgrade my existing version of R and its packages to version 3.2.1, "World-Famous Astronaut." The upgrade instructions could have been a little bit clearer, but after hitting a couple of unmentioned prompts and changing a couple of wrong choices, the process turned out to be quick and smooth.

Then I started reading chapters and keying in some of the code examples. I had not used R much recently, so it was fun again to enter some commands and numbers and have nicely formatted graphs suddenly pop open on the screen. Even better, it is nice to have a LOT of new stuff to learn, with a well-written, well-illustrated guidebook in hand.

(My thanks to Manning for sending a review copy.)
3 von 3 Kunden fanden die folgende Rezension hilfreich
Great book, only better with second edition! 6. Juni 2015
Von UML Student - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Great introductory book on R. This is a great expansion on the first edition. This books is perfect for either a student or a professional who needs to start implementing R code for their statistical and data analysis right away, but does not want to miss out on important details or explanations. The text provides a good footing on the basics of the language with solid useful examples. This book is probably the best "first R book" on the market in terms of giving the reader a complete picture of all the basic elements needed by any R user.
1 von 1 Kunden fanden die folgende Rezension hilfreich
The most complete book on R I have ever had my hands on 15. Juni 2015
Von A. Zubarev - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This book captivates from the first pages!
Robert is able to build trust and bonds between a reader and the author right away. The book features precise, to the point explanations of the most difficult topics in statistics with tasteful graphics. All the technical aspects of the R language and Modern Statistics delivered with a great passion from a very knowledgeable professional. Some tasteful humour used in the publication makes reading this book even a greater pleasure.
Short, easy to follow and repeat examples. I say very comprehensive coverage of the R charting capabilities which I should have said earlier (not arguably, the most important concept in understanding data and delivering results of any study). Robert actually introduces the graphing functions early in part 1, chapter 3, but do not be mislead, the charting coverage gets going and even expanding further in almost every other chapter since then. Big plus ggplot2 is covered nicely.
The book in my view is a perfect fit for a very wide range of audiences from a student in the statistics course to a seasoned professional working with data on a daily basis.
To say more, almost all types of data processing have been covered. It was a rare inclusion and I actually enjoyed the most on the time series.
As it would be expected from a respectful scientist, creating reports using R and several other indispensable tools is covered too which makes it a very rounded book overall.
The items I would like or expected to be covered in this book would be interoperability with other languages as say C++ (e.g. RCPP), and several techniques for high volumes of data processing (e.g. distributed processing, or the use GPU).
Anyways, the best book this year I read. And still the most complete book on R I have ever had my hands on. Definitely goes to my favourites list.
Five out of five.
Thank you Robert and Manning!
An excellent purchase 2. Juli 2015
Von B. Bodnar - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
I wish I had a book similar to this one years ago. The author *clearly* explains topics and provides worked examples. An item I'd like to see in the introductory section: creating a basic script that provides a graphical output and running it from a command prompt. I have this situation right now: I'm running a script on a Mac that generates a .png output; the output quality is poor compared to cut-and-paste from the GUI. Another item: how to run a command script on a Windows machine.

I highly recommend this book.
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