Data Manipulation with R (Use R!)
and over one million other books are available for Amazon Kindle .
Learn more
| |||||||||||||||
 Trade In this Item for up to £16.55
Get an extra £5 when you trade in books worth £10 or more until June 30, 2012. Trade in Data Manipulation with R (Use R!) for an Amazon.co.uk gift card of up to £16.55, which you can then spend on millions of items across the site. Trade-in values may vary (terms apply). Find more products eligible for trade-in.
|
Frequently Bought Together
Product details
|
More About the Author
Product Description
Review
From the reviews: "This comprehensive, compact and concise book provides all R users with a reference and guide to the mundane but terribly important topic of data manipulation in R. … This is a book that should be read and kept close at hand by everyone who uses R regularly."(Douglas M. Bates, International Statistical Reviews, Vol. 76 (2), 2008) "Presents a wide array of methods applicable for reading statistical data into the R program and efficiently manipulating that data." (Journal of Economic Literature, Vol. 46, no. 3, September 2008) "R is a programming language particularly suitable for statistical computing and data analysis. … Using a variety of examples based on data sets included with R, along with easily stimulated data sets, the book is recommended to anyone using R who wishes to advance from simple examples to practical real-life data manipulation solutions." (Christina Diakaki, Zentralblatt MATH, Vol. 1154, 2009) "The book contains much good information regarding the unique way in which R manipulates data objects. lt provides a complement to the many books illustrating statistical applications of R. It is clear that the author is very familiar with R. and the explanations and illustrations are generally helpful. Personally, I found the chapters on reading and writing data and on data aggregation most helpful, because these topics are essential in exploring data." (Jim Albert, The American Statistician, May 2009, Vol. 63, no. 2) “Readers of this book will receive a focused treatment of data manipulation … . This book has lots of examples which are helpful. … provides more depth to understand the data structure/objects within R and how to better take advantage of this structure. … I found this book very helpful to my understanding of the structure and will be using it as a reference tool in my work.” (Roger M. Sauter, Technometrics, Vol. 52 (3), August, 2010)
Product Description
This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered. All of the methods presented take advantage of the core features of R: vectorization, efficient use of subscripting, and the proper use of the varied functions in R that are provided for common data management tasks. Most experienced R users discover that, especially when working with large data sets, it may be helpful to use other programs, notably databases, in conjunction with R. Accordingly, the use of databases in R is covered in detail, along with methods for extracting data from spreadsheets and datasets created by other programs. Character manipulation, while sometimes overlooked within R, is also covered in detail, allowing problems that are traditionally solved by scripting languages to be carried out entirely within R. For users with experience in other languages, guidelines for the effective use of programming constructs like loops are provided. Since many statistical modeling and graphics functions need their data presented in a data frame, techniques for converting the output of commonly used functions to data frames are provided throughout the book.
Inside This Book
(Learn More)
Tags Customers Associate with This Product(What's this?)Click on a tag to find related items, discussions, and people.
|
What Other Items Do Customers Buy After Viewing This Item?
Customer Reviews
Most Helpful Customer Reviews
2 of 2 people found the following review helpful
Format:Kindle Edition
I have bought a lot of Springer's excellent Use R! series of books, but Phil Spector's "Data Manipulation with R" is my favourite. Here is a thin little book, 150 pages, which contains more information that many 600 page tomes. This makes it a dense read: every page is worth spending 15 minutes on, but you are well rewarded. R's data manipulation techniques are extremely powerful and are a big demarcator from more general purpose languages, and this book focuses perfectly on the basics, the details, and the power.
That said don't expect it to be general. This book does one thing, and does it well.
That said don't expect it to be general. This book does one thing, and does it well.
2 of 2 people found the following review helpful
Format:Paperback
R is a powerful language for scientific computation, but it is also a full programming language in its own right. However, R is a functional language and this presents a steep learning curve for many users. This book helps the user get to grips with this powerful language. I had read the explanation of the 'aggregate' function years ago and never made sense of it. This book explained it to me. I was also unaware of Hadley Wickham's remarkable' reshape' package (not to be confused with the reshape function in the base package) until I read about it here. If you want to program in R you'll need this one.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
15 reviews
76 of 80 people found the following review helpful
a must for statisticians wanting to learn R
11 May 2008
Format:Paperback
This book along with Jim Albert's should be read by every statistician that does a lot of statistical computing. Both books help you learn R quickly and apply it to many important problems in research both applied and theoretical. Albert emphasizes applications in Bayesian statistics whereas Spector is teaching how to do data manipulation, things like merging and transposing data sets. These techniques can be easy to do in a language like SAS after a little training but in other programming languages it can be very difficult.
23 of 23 people found the following review helpful
Great little book
13 Jun 2008
Format:Paperback|Amazon Verified Purchase
This concise 150 page book contains a wealth of information, writen clearly and with many well-chosen examples. I liked it a lot. It covers reading and writing data in/out of the R workspace, including access to databases. The names of other chapters suggest the topics covered: "Dates", "Factors", "Subscripting", "Character manipulation", "Data aggregation", "Reshaping data".
This book will be helpful to any but the most absolutely new to R, and even the seasoned user will find interesting hints and examples. I cannot recommend it enough.
One minor qualm I have is the absence of references. Some topics (for instance, regular expressions) are fairly complex, and well documented elsewhere: a pointer or two would be helpful. Same with, for instance, SQL, which is mentioned and demonstrated briefly.
Another not-so-minor qualm is price. A book of this size from, for instance, Dover classics collection, with similar paper quality and covers, is about a third or fourth of the price. Although this is a new book I find the $54.95 tag (Amazon discounted price is about $44.50) fairly high. But this has nothing to do with the quality of the book, rather it has to do with the Springer pricing policies.
All in all, if you don't mind the price, this is a good buy.
This book will be helpful to any but the most absolutely new to R, and even the seasoned user will find interesting hints and examples. I cannot recommend it enough.
One minor qualm I have is the absence of references. Some topics (for instance, regular expressions) are fairly complex, and well documented elsewhere: a pointer or two would be helpful. Same with, for instance, SQL, which is mentioned and demonstrated briefly.
Another not-so-minor qualm is price. A book of this size from, for instance, Dover classics collection, with similar paper quality and covers, is about a third or fourth of the price. Although this is a new book I find the $54.95 tag (Amazon discounted price is about $44.50) fairly high. But this has nothing to do with the quality of the book, rather it has to do with the Springer pricing policies.
All in all, if you don't mind the price, this is a good buy.
19 of 19 people found the following review helpful
Start here
20 Dec 2008
Format:Paperback|Amazon Verified Purchase
All too often novices wanting to use R for an analysis never get to the analysis because they can't successfully import, clean-up and restructure their data for the analysis functions. This book prevents those problems by telling you the critical data and file manipulation materials that are usually briefly (and inadequately) covered in stat books. It is a short easy read that will give you the tools to get your data ready to go.
You can see the table of contents and read the other reviews but areas that really shine include: dealing with categorical (named or ordered) factor variables, recoding numeric data into categorical variables, and also making and working with summary tables.
When it comes to data manipulation and clean-up Spector has the best coverage of any book or web FAQ. This book is very expensive for its size but it is worth every cent.
You can see the table of contents and read the other reviews but areas that really shine include: dealing with categorical (named or ordered) factor variables, recoding numeric data into categorical variables, and also making and working with summary tables.
When it comes to data manipulation and clean-up Spector has the best coverage of any book or web FAQ. This book is very expensive for its size but it is worth every cent.
Were these reviews helpful?
Let us know
Listmania!
|
|
Look for similar items by category
- Books > Computing & Internet > Databases > Database Design & Theory
- Books > Computing & Internet > Digital Lifestyle > Online Shopping > Amazon
- Books > Computing & Internet > Programming > Languages & Tools
- Books > Science & Nature > Mathematics > Probability & Statistics
- Books > Science & Nature > Popular Science > Maths
- Books > Scientific, Technical & Medical > Mathematics > Applied Mathematics > Statistics & Probability
Look for similar items by subject
Feedback
- Would you like to update product info or give feedback on images?
- I am the Author, and I want to comment on my book.
- I am the Publisher, and I want to comment on this book.
|
