Beginning R: An Introduction to Statistical Programming

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Apress, Nov 28, 2012 - Computers - 336 pages
Beginning R: An Introduction to Statistical Programming 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. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, 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. R is also becoming adopted into commercial tools such as Oracle Database. 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 statistical exploration and research.

  • Covers the freely-available R language for statistics
  • Shows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and more
  • Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done
 

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Contents

CHAPTER 1 Getting R and Getting Started
1
CHAPTER 2 Programming in R
25
CHAPTER 3 Writing Reusable Functions
47
CHAPTER 4 Summary Statistics
65
CHAPTER 5 Creating Tables and Graphs
77
CHAPTER 6 Discrete Probability Distributions
93
CHAPTER 7 Computing Normal Probabilities
103
CHAPTER 8 Creating Confidence Intervals
113
CHAPTER 12 Correlation and Regression
165
CHAPTER 13 Multiple Regression
185
CHAPTER 14 Logistic Regression
201
CHAPTER 15 ChiSquare Tests
217
CHAPTER 16 Nonparametric Tests
229
CHAPTER 17 Using R for Simulation
247
Resampling and Bootstrapping
257
CHAPTER 19 Making an R Package
269

CHAPTER 9 Performing t Tests
125
CHAPTER 10 OneWay Analysis of Variance
139
CHAPTER 11 Advanced Analysis of Variance
149
CHAPTER 20 The R Commander Package
289
Index
303
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About the author (2012)

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.

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