click to
look inside
Look inside
listen to a preview now
FREE
You can see this entire book for free.
Click the table of contents to start reading.
ASK me anything...
we'll search our titles
to answer your question

R in Action, Second Edition

Data analysis and graphics with R
Robert I. Kabacoff
  • May 2015
  • ISBN 9781617291388
  • 608 pages
  • printed in black & white

placing your order...

Don't refresh or navigate away from the page.
eBook This book is part of the Deep Learning with R bundle. Our eBooks come in Kindle, ePub, and DRM-free PDF formats + liveBook, our enhanced eBook format accessible from any web browser. $33.59 $47.99 you save: $14 (30%) 3 formats + liveBook
R in Action, Second Edition (eBook) added to cart
continue shopping
go to cart

print book This book is part of the Deep Learning with R bundle. Receive a print copy shipped to your door + the eBook in Kindle, ePub, & PDF formats + liveBook, our enhanced eBook format accessible from any web browser. $35.99 $59.99 you save: $24 (40%) pBook + eBook + liveBook
Additional shipping charges may apply
FREE domestic shipping on orders of three or more print books
R in Action, Second Edition (print book + eBook) added to cart
continue shopping
go to cart

audio book This book is part of the Deep Learning with R bundle. liveAudio books are downloadable mp3 files plus accompanying graphics, code, & exercises + the eBook in Kindle, ePub, & PDF formats + liveBook, our enhanced eBook format accessible from any web browser. $51.08 $72.98 you save: $22 (30%) liveAudio + liveBook
R in Action, Second Edition (eBook) added to cart
continue shopping
go to cart

Essential to anyone doing data analysis with R, whether in industry or academia.

Cristofer Weber, NeoGrid
Look inside

R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.

This book is one of three products included in the Deep Learning with R bundle. Get the entire bundle for only $59.99.

about the technology

Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide.

about the book

R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.

what's inside

  • Complete R language tutorial
  • Using R to manage, analyze, and visualize data
  • Techniques for debugging programs and creating packages
  • OOP in R
  • Over 160 graphs

about the reader

This book is designed for readers who need to solve practical data analysis problems using the R language and tools. Some background in mathematics and statistics is helpful, but no prior experience with R or computer programming is required.

about the author

Dr. Rob Kabacoff is a seasoned researcher who specializes in data analysis. He has taught graduate courses in statistical programming and manages the Quick-R website at statmethods.net.

FREE domestic shipping on orders of three or more print books

A go-to reference for general R and many statistics questions.

George Gaines, KYOS Systems Inc.

Accessible language, realistic examples, and clear code.

Samuel D. McQuillin, University of Houston

Offers a gentle learning curve to those starting out with R for the first time.

Indrajit Sen Gupta, Mu Sigma Business Solutions
RECENTLY VIEWED