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R Cookbook / Edition 1

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Overview

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.

Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process.

  • Create vectors, handle variables, and perform other basic functions
  • Input and output data
  • Tackle data structures such as matrices, lists, factors, and data frames
  • Work with probability, probability distributions, and random variables
  • Calculate statistics and confidence intervals, and perform statistical tests
  • Create a variety of graphic displays
  • Build statistical models with linear regressions and analysis of variance (ANOVA)
  • Explore advanced statistical techniques, such as finding clusters in your data

"Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author

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Product Details

  • ISBN-13: 9780596809157
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 3/22/2011
  • Edition number: 1
  • Pages: 438
  • Sales rank: 169,451
  • Product dimensions: 6.90 (w) x 9.20 (h) x 1.10 (d)

Meet the Author

Paul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He specializes in analytics and software engineering for investment management, securities trading, and risk management. He works with hedge funds, market makers, and portfolio managers in the greater Chicago area.

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Table of Contents

Preface

Chapter 1: Getting Started and Getting Help

Chapter 2: Some Basics

Chapter 3: Navigating the Software

Chapter 4: Input and Output

Chapter 5: Data Structures

Chapter 6: Data Transformations

Chapter 7: Strings and Dates

Chapter 8: Probability

Chapter 9: General Statistics

Chapter 10: Graphics

Chapter 11: Linear Regression and ANOVA

Chapter 12: Useful Tricks

Chapter 13: Beyond Basic Numerics and Statistics

Chapter 14: Time Series Analysis

Colophon

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Sort by: Showing all of 8 Customer Reviews
  • Anonymous

    Posted November 28, 2011

    Samples don't load.

    I can't tell if this book is any good or not because my Nook Touch won't read the sample file.

    2 out of 5 people found this review helpful.

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  • Anonymous

    Posted March 23, 2013

    Error

    I got a sample error

    0 out of 1 people found this review helpful.

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  • Anonymous

    Posted March 3, 2013

    Tthjk

    Fjghkj

    0 out of 1 people found this review helpful.

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  • Anonymous

    Posted June 26, 2012

    Make that another who can't read the sample.

    I get an error when I try to open the sample.

    0 out of 2 people found this review helpful.

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  • Anonymous

    Posted June 18, 2012

    No-go on nook tablet

    Chiming in with the other two guys. Bad sample file = really unfortunate! Please fix!

    0 out of 1 people found this review helpful.

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  • Anonymous

    Posted April 7, 2012

    Unreadable sample

    As the previous poster noted, the sample is unreadable (I'm using a Nook Tablet). This needs to be fixed.

    0 out of 2 people found this review helpful.

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  • Anonymous

    Posted January 20, 2013

    No text was provided for this review.

  • Anonymous

    Posted December 14, 2011

    No text was provided for this review.

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