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R in a Nutshell, 2nd Edition

eBook Details:

  • Paperback: 724 pages
  • Publisher: WOW! eBook; 2nd edition (October 18, 2012)
  • Language: English
  • ISBN-10: 144931208X
  • ISBN-13: 978-1449312084

eBook Description:

R in a Nutshell, 2nd Edition

  • Get started quickly with an R tutorial and hundreds of examples
  • Explore R syntax, objects, and other language details
  • Find thousands of user-contributed R packages online, including Bioconductor
  • Learn how to use R to prepare data for analysis
  • Visualize your data with R’s graphics, lattice, and ggplot2 packages
  • Use R to calculate statistical fests, fit models, and compute probability distributions
  • Speed up intensive computations by writing parallel R programs for Hadoop
  • Get a complete desktop reference to R

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports. CLICK TO DOWNLOAD

Exploring Everyday Things with R and Ruby

eBook Details:

  • Paperback: 252 pages
  • Publisher: WOW! eBook (July 30, 2012)
  • Language: English
  • ISBN-10: 1449315151
  • ISBN-13: 978-1449315153

eBook Description:

Exploring Everyday Things with R and Ruby

  • Determine how many restroom stalls can accommodate an office with 70 employees
  • Mine your email to understand your particular emailing habits
  • Use simple audio and video recording devices to calculate your heart rate
  • Create an artificial society and analyze its behavioral patterns to learn how specific factors affect our real society

Exploring Everyday Things with R and Ruby: Discover the World Around You Through Programming

If you’re curious about how things work, this fun and intriguing guide will help you find real answers to everyday problems. By using fundamental math and doing simple programming with the Ruby and R languages, you’ll learn how to model a problem and work toward a solution.

All you need is a basic understanding of programming. After a quick introduction to Ruby and R, you’ll explore a wide range of questions by learning how to assemble, process, simulate, and analyze the available data. You’ll learn to see everyday things in a different perspective through simple programs and common sense logic. Once you finish this book, you can begin your own journey of exploration and discovery. CLICK TO DOWNLOAD

Beginning R: The Statistical Programming Language

eBook Details:

  • Paperback: 504 pages
  • Publisher: WOW! eBook; 1st edition (June 5, 2012)
  • Language: English
  • ISBN-10: 111816430X
  • ISBN-13: 978-1118164303

eBook Description:

Gain better insight into your data using the power of R

While R is very flexible and powerful, it is unlike most of the computer programs you have used. In order to unlock its full potential, this book delves into the language, making it accessible so you can tackle even the most complex of data analysis tasks. Simple data examples are integrated throughout so you can explore the capabilities and versatility of R. Along the way, you’ll also learn how to carry out a range of commonly used statistical methods, including Analysis of Variance and Linear Regression. By the end, you’ll be able to effectively and efficiently analyze your data and present the results.

Conquer the complexities of this open source statistical language

R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming. CLICK TO DOWNLOAD