BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Beginning R: The Statistical Programming Language

Beginning R: The Statistical Programming Language

Beginning R: The Statistical Programming Language
Stock photo: cover may vary

Beginning R: The Statistical Programming Language Paperback - 2012

by Gardener, Mark

Add to wish list
  • Used
  • Paperback
  • first
Used: Good

Description

Wrox Press, 2012-05-18. 1. paperback. Used: Good. 7.38x1.14x9.25. Buy with confidence. Excellent Customer Service & Return policy.
Ask the seller a question Add to wish list
A$13.55
Free Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Dropship order
Ships from Ergodebooks (Texas, United States)

Details

  • Title Beginning R: The Statistical Programming Language
  • Author Gardener, Mark
  • Binding Paperback
  • Edition 1
  • Condition Used: Good
  • Pages 504
  • Volumes 1
  • Language ENG
  • Publisher Wrox Press
  • Publication date 2012-05-18
  • Bookseller's Inventory # SONG111816430X
  • ISBN 9781118164303 / 111816430X
  • Weight 1.85 lbs (0.84 kg)
  • Dimensions 9.27 x 7.48 x 1.13 in (23.55 x 19.00 x 2.87 cm)
  • Size 7.38x1.14x9.25
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Computers - Languages / Programming
  • Library of Congress Catalogue Number 2012937909
  • Dewey Decimal Code 005.133
  • Quantity available 1

About Ergodebooks Texas, United States

Biblio member since 2005

Our goal is to provide best customer service and good condition books for the lowest possible price. We are always honest about condition of book. We list book only by ISBN # and hence exact book is guaranteed.

Terms of Sale:

We have 30 day return policy.

Browse books from Ergodebooks

Reader reviews for Beginning R: The Statistical Programming Language

From the rear cover

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.

Beginning R:

  • Discusses how to implement some basic statistical methods such as the t-test, correlation, and tests of association

  • Explains how to turn your graphs from merely adequate to simply stunning

  • Provides you with the ability to define complex analytical situations

  • Demonstrates ways to make and rearrange your data for easier analysis

  • Covers how to carry out basic regression as well as complex model building and curvilinear regression

  • Shows how to produce customized functions and simple scripts that can automate your workflow

wrox.com

Programmer Forums

Join our Programmer to Programmer forums to ask and answer programming questions about this book, join discussions on the hottest topics in the industry, and connect with fellow programmers from around the world.

Code Downloads

Take advantage of free code samples from this book, as well as code samples from hundreds of other books, all ready to use.

Read More

Find articles, ebooks, sample chapters and tables of contents for hundreds of books, and more reference resources on programming topics that matter to you.

Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that guides you through all the techniques involved.

Visit the Beginning R website at www.wrox.com/go/beginningr

About the author

Dr. Mark Gardener is an ecologist, lecturer, and writer working in the UK. He is currently self-employed and runs courses in ecology, data analysis, and R for a variety of organizations.

tracking-