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R in a Nutshell (In a Nutshell (O'Reilly)) (Englisch) Taschenbuch – 31. Oktober 2012

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Produktinformation

  • Taschenbuch: 721 Seiten
  • Verlag: O'Reilly & Associates; Auflage: 2 (31. Oktober 2012)
  • Sprache: Englisch
  • ISBN-10: 144931208X
  • ISBN-13: 978-1449312084
  • Größe und/oder Gewicht: 15,2 x 3,9 x 22,9 cm
  • Durchschnittliche Kundenbewertung: 4.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: Nr. 47.135 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)

Produktbeschreibungen

Über den Autor und weitere Mitwirkende

Joseph Adler has years of experience working with lots of popular data mining packages, including databases (including Oracle, PostgreSQL, and MS Access), statistical analysis tools (SAS, SPSS, S-Plus, and R), and data mining tools (SAS Enterprise Miner, Insightful Miner, Oracle Data Mining, Weka, and SPSS Clementine). He is currently leading a project at Verisign to pick a data mining package for enterprise deployment.

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1 von 1 Kunden fanden die folgende Rezension hilfreich Von mko am 26. November 2012
Format: Kindle Edition
I have bought R in a Nutshell some time ago (1-st edition) and I was pleased with it. It is very decent introduction to R. I am using R casually for doing server logs analysis, mostly. And from my point of view, a person who doesn’t speak R fluently, this book is very handy. I have requested 2-nd edition mostly from the mere curiosity. I wanted to know how book have changed.

You will find few minor shifts here, some chapters were moved and some of them were split or merged. However, the content remained quality remained at the same level. Book covers most recent release of R (at least when it comes to Mac OS, I can’t tell for the other systems). There are few new things I have learned. RStudio and ggplot2 are among them. As I said, I don’t follow all the recent news in the “R world” thus, reading about these two was a big surprise for me and big plus for my simple tasks done with R.

I would recommend this book for R newbies. If you have never ever worked with R but looking to start your journey with it this is a good start. Contrary, if you have already done some stuff with R and you are looking for straightforward solutions I’d suggest heading towards R Cookbook. Anyway, I think this book is a really decent introduction to R.
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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 17 Rezensionen
40 von 41 Kunden fanden die folgende Rezension hilfreich
wait for the errata to fill in before buying 25. Januar 2013
Von J - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
Before buying, look at the book description at the publisher's website (oreilly.com) and click on the "errata" link. Check to see how long that list is. If you can live with cross-referencing this list with the book, then buy it. Otherwise, there are probably better books out there.

As it is, I am somewhat proficient in R and bought this book as a crash course for a better understanding of the basics, especially the graphics and statistics. After barrelling through roughly half of the book, I found many references to functions or parameters which were never explained or were explained later in the book (without saying so at the first reference). For someone who is hoping for a quick read through most of what R has to offer, this is like hitting a brick wall.

The book helps the reader understand a lot of what R is capable of, but it seems to be done in a more slip-shod manner than I was hoping for. I get the feeling the author was rushed in getting this to print. Or, they didn't pay the editor enough.

As an aside, the formatting for the kindle edition has been working pretty well. I've actually been reading it on the cloud reader without problems (be sure to download a local copy for offline reading).
15 von 17 Kunden fanden die folgende Rezension hilfreich
Decent introduction to R 26. November 2012
Von mko - Veröffentlicht auf Amazon.com
Format: Taschenbuch
I have bought R in a Nutshell some time ago (1-st edition) and I was pleased with it. It is very decent introduction to R. I am using R casually for doing server logs analysis, mostly. And from my point of view, a person who doesn't speak R fluently, this book is very handy. I have requested 2-nd edition mostly from the mere curiosity. I wanted to know how book have changed.

You will find few minor shifts here, some chapters were moved and some of them were split or merged. However, the content remained quality remained at the same level. Book covers most recent release of R (at least when it comes to Mac OS, I can't tell for the other systems). There are few new things I have learned. RStudio and ggplot2 are among them. As I said, I don't follow all the recent news in the "R world" thus, reading about these two was a big surprise for me and big plus for my simple tasks done with R.

I would recommend this book for R newbies. If you have never ever worked with R but looking to start your journey with it this is a good start. Contrary, if you have already done some stuff with R and you are looking for straightforward solutions I'd suggest heading towards R Cookbook. Anyway, I think this book is a really decent introduction to R.
11 von 12 Kunden fanden die folgende Rezension hilfreich
practical and well-organized introduction to R 18. November 2012
Von joycie - Veröffentlicht auf Amazon.com
Format: Taschenbuch
This is a well-organized overview of R, which provides working examples and explanations of how you can use R to look at data. It provides concrete advice that you can directly apply -- it walks the reader through how you can think through data visualization and describes the tools available to analyze data in R.

The desktop reference is a solid guide for beginning and intermediate users of R. It is practical and task-oriented, so it will help anyone get up and running quickly on the R environment. Along with the basics of the R language, the book covers data processing, data visualization in R, and statistics in R, which will get you quite a fair ways in using R as a visualization and data discovery tool.

This is not an advanced book on R, or a cookbook-style book, or a pocket reference. It is a solid introductory book on R, and I like that the author's examples give you an idea of how one should go about taking a set of data and playing with it until you discover patterns and stories in that data.
6 von 8 Kunden fanden die folgende Rezension hilfreich
Not a tutorial or the encyclopedia one would expect 24. Dezember 2013
Von Erik Gfesser - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This book is the second that I purchased this past year to get up to speed on the R language and environment, along with "R in Action" and "R Graphics Cookbook" (see my reviews), but unlike these other two, I fully expected this book to serve as a reference rather than a tutorial, based on my experience with "UNIX in a Nutshell" many years ago. However, through my experience I was quickly made aware of the breadth of the R language, which includes over 2500 packages that have become available to the community, and I have instead typically used this book as a starting point for additional research on websites which cater to the R community, including CRAN ("Comprehensive R Archive Network").

Even given its near 700-page size, it is difficult for any book to cover R extensively, so I credit this book to continue to provide pointers in the right direction as I gain experience using the language. While "R in Action" in its introductory chapters gets one up and running with R more gracefully, chapter 1 ("Getting and Installing R") and chapter 2 ("The R User Interface") in this book also provide a glimpse into the many options available with regard to environments. The closest that one will get with a tutorial in this book is the 18-page chapter 3 ("A Short R Tutorial"), but this chapter should really only be considered a way to wet one's appetite with regard to basic operations, functions, variables, data structures, objects and classes, models and formulas, and charts and graphics, as chapters 5 through 10 go over these topics more extensively.

Chapter 11 ("Saving, Loading, and Editing Data") along with Chapter 12 ("Preparing Data") provide useful information on working with data, because, like it or not, as with any language most data work revolves around first getting it into the correct format, but although these chapters present more available options in this area than "R in Action", these chapters also again read more like an encyclopedia and do not provide any guidance, because as is the case with most of this text, readers are likely best served when they have a decent idea of what they are looking to accomplish.

Most of my use of this book has involved Part 4 ("Data Visualization"), Part 5 ("Statistics with R"), and Part 6 ("Additional Topics"). After experimenting with the packages included with R by default, it is Chapter 15 ("ggplot2") which led me to purchase "R Graphics Cookbook", a well recommended book to learn the ggplot2 package, but it is the other chapters within this part of the book that made me realize that although the ggplot2 package provides standardization that is often lacking with R, no single package is likely to ever serve the needs of a developer, at least over time. Recommended text for those in the earlier stages of using the R language and environment and still finding their way, but not for the neophyte, as this book is not a tutorial, nor is it the encyclopedia one would expect from the "In a Nutshell" series.
3 von 4 Kunden fanden die folgende Rezension hilfreich
Not a "Desktop Quick Reference" like other Nutshell books 29. September 2013
Von Smartpage Books - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
I bought this book based upon my experience with other O'Reilly "in a nutshell" books. The one on Linux is excellent. In other words, I am expecting an encyclopedic reference book. This book is much too tutorial in style to make a good reference book. But even so, I could deal with it if I could find the information I am looking for. The index is about 300% smaller than it should be, especially for a 700 page book. Lastly, towards the end the author includes an R Reference section - about 125 pages. However, commands, methods, et al do not contain any examples or do they reference the reader back into the text somewhere to see the syntax. It is this section that the author should have started with and expanded with syntax and short examples. Then it would indeed be a good reference book for R.
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