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  • © 2015

Beginning R

An Introduction to Statistical Programming

Apress
  • Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions.

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-xxiii
  2. Chapter 1: Getting Star ted

    • Joshua F. Wiley, Larry A. Pace
    Pages 1-13
  3. Chapter 2: Dealing with Dates, Strings, and Data Frames

    • Joshua F. Wiley, Larry A. Pace
    Pages 15-25
  4. Chapter 3: Input and Output

    • Joshua F. Wiley, Larry A. Pace
    Pages 27-34
  5. Chapter 4: Control Structures

    • Joshua F. Wiley, Larry A. Pace
    Pages 35-42
  6. Chapter 5: Functional Programming

    • Joshua F. Wiley, Larry A. Pace
    Pages 43-52
  7. Chapter 6: Probability Distributions

    • Joshua F. Wiley, Larry A. Pace
    Pages 53-65
  8. Chapter 7: Working with Tables

    • Joshua F. Wiley, Larry A. Pace
    Pages 67-72
  9. Chapter 8: Descriptive Statistics and Exploratory Data Analysis

    • Joshua F. Wiley, Larry A. Pace
    Pages 73-80
  10. Chapter 9: Working with Graphics

    • Joshua F. Wiley, Larry A. Pace
    Pages 81-92
  11. Chapter 10: Traditional Statistical Methods

    • Joshua F. Wiley, Larry A. Pace
    Pages 93-100
  12. Chapter 11: Modern Statistical Methods

    • Joshua F. Wiley, Larry A. Pace
    Pages 101-110
  13. Chapter 12: Analysis of Variance

    • Joshua F. Wiley, Larry A. Pace
    Pages 111-120
  14. Chapter 13: Correlation and Regression

    • Joshua F. Wiley, Larry A. Pace
    Pages 121-137
  15. Chapter 14: Multiple Regression

    • Joshua F. Wiley, Larry A. Pace
    Pages 139-161
  16. Chapter 15: Logistic Regression

    • Joshua F. Wiley, Larry A. Pace
    Pages 163-192
  17. Chapter 16: Modern Statistical Methods II

    • Joshua F. Wiley, Larry A. Pace
    Pages 193-213
  18. Chapter 17: Data Visualization Cookbook

    • Joshua F. Wiley, Larry A. Pace
    Pages 215-277
  19. Chapter 18: High-Performance Computing

    • Joshua F. Wiley, Larry A. Pace
    Pages 279-301
  20. Chapter 19: Text Mining

    • Joshua F. Wiley, Larry A. Pace
    Pages 303-320

About this book

Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re-written since the first edition to make use of the latest packages and features in R version 3.

R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics.  R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research.

What You Will Learn:

  • How to acquire and install R
  • Hot to import and export data and scripts
  • How to analyze data and generate graphics
  • How to program in R to write custom functions
  • Hot to use R for interactive statistical explorations
  • How to conduct bootstrapping and other advanced techniques

About the authors

Dr. Larry Pace is a statistics author and educator, as well as a consultant. He lives in the upstate area of South Carolina in the town of Anderson. He is a professor of statistics, mathematics, psychology, management, and leadership. He has programmed in a variety of languages and scripting languages including R, Visual Basic, JavaScript, C##, PHP, APL, and in a long-ago world, Fortran IV. He writes books and tutorials on statistics, computers, and technology. He has also published many academic papers, and made dozens of presentations and lectures. He has consulted with Compaq Computers, AT&T, Xerox Corporation, the U.S. Navy, and International Paper. He has taught at Keiser University, Argosy University, Capella University, Ashford University, Anderson University (where he was the chair of the behavioral sciences department), Clemson University, Louisiana Tech University, LSU in Shreveport, the University of Tennessee, Cornell University, Rochester Institute of Technology, Rensselaer Polytechnic Institute, and the University of Georgia.

Bibliographic Information

Buy it now

Buying options

eBook USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access