R in Action [Paperback] Author: Robert Kabacoff | Language: English | ISBN:
1935182390 | Format: PDF, EPUB
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Summary
R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.
About the TechnologyR is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.
About the BookR in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually.
Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
What's Inside- Practical data analysis, step by step
- Interfacing R with other software
- Using R to visualize data
- Over 130 graphs
- Eight reference appendixes
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Table of ContentsPart I Getting started
Introduction to RCreating a datasetGetting started with graphsBasic data managementAdvanced data management Part II Basic methods
Basic graphsBasic statistics Part III Intermediate methods
RegressionAnalysis of variancePower analysisIntermediate graphsRe-sampling statistics and bootstrapping Part IV Advanced methods
Generalized linear modelsPrincipal components and factor analysisAdvanced methods for missing dataAdvanced graphics Direct download links available for R in Action [Paperback] Epub Free
- Paperback: 472 pages
- Publisher: Manning Publications; 1 edition (August 24, 2011)
- Language: English
- ISBN-10: 1935182390
- ISBN-13: 978-1935182399
- Product Dimensions: 9.2 x 7.4 x 1.1 inches
- Shipping Weight: 1.6 pounds (View shipping rates and policies)
This book fills an important gap by introducing the basics of R and statistical data analysis from a very practical and pragmatic point of view. It has a broad coverage and after introducing basic data set manipulation techniques and commands, it goes on to describe many important statistical data analysis techniques from simple linear regression to more advanced methods such as ANOVA, power analysis, resampling, bootstrapping, generalized linear models, PCA, factor analysis, and handling missing values.
One of the nice features of the book is the description and discussion of many different visualization methods. The author, using many interesting and real world examples, shows how basic and more advanced visualization methods in R can be very helpful in exploring and understanding many different types of data sets.
The reader should be careful, though. This book does not dive into the gory details of all the topics it covers. Luckily the author is also aware of that, and he always mentions the good and detailed references for the readers who want to master the mathematical details. But make no mistake, some of the discussions about the pitfalls of some modeling techniques such as regression are quite adequate.
You should also bear in mind that this book is not a guide to programming in R in general, even though you'll be able to do many different types of data analysis after having finished this book, you'd definitely need a book like The Art of R Programming: A Tour of Statistical Software Design in order to develop your own sophisticated functions, modules and packages.
Quite a few texts on R have entered the marketplace over the last few years, so my decision to go with this text about a year ago was based on my survey of a number of reviews others have written for this and other books in this space, along with my personal experience with other Manning publications such as "Spring in Action", "Java Persistence with Hibernate", and "Hadoop in Action". In general, my experience working through this book has been pleasant, so I personally do not understand some of the complaints that other reviewers have made about the content that Kabacoff provides here.
That said, however, be forewarned that as with other texts, you should not expect to find all of your answers about R in this book. In my opinion, Manning publications are typically written in a format that fits well with the agile learning method with which I have grown accustomed during my consulting career. The author introduces topics along the way, sometimes more piecemeal that I would like, but his style forced me to explore other resources for more detail, bringing familiarity to other available resources. The number of plugin statistical packages for R has grown exponentially over the years (there are now over 2500), for example, so no book, not even "R in a Nutshell: A Desktop Quick Reference (Second Edition)", which I purchased recently, should be expected to be a one-stop shop.
This text quickly brought me up to speed with R language basics working with data sets, and introduced me to specifics with regard to R statistical methods and visualizations. Using R 2.15.
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