R Recipes

1. Front Matter

   Pages i-xx

   PDF

2. Migrating to R: As Easy As 1, 2, 3

   • Larry A. Pace

   Pages 1-15

3. Input and Output

   • Larry A. Pace

   Pages 17-26

4. Data Structures

   • Larry A. Pace

   Pages 27-41

5. Merging and Reshaping Datasets

   • Larry A. Pace

   Pages 43-56

6. Working with Dates and Strings

   • Larry A. Pace

   Pages 57-66

7. Working with Tables

   • Larry A. Pace

   Pages 67-78

8. Summarizing and Describing Data

   • Larry A. Pace

   Pages 79-88

9. Graphics and Data Visualization

   • Larry A. Pace

   Pages 89-105

10. Probability Distributions

    • Larry A. Pace

    Pages 107-116

11. Hypothesis Tests for Means, Ranks, or Proportions

    • Larry A. Pace

    Pages 117-141

12. Relationships Between and Among Variables

    • Larry A. Pace

    Pages 143-155

13. Contemporary Statistical Methods

    • Larry A. Pace

    Pages 157-166

14. Writing Reusable Functions

    • Larry A. Pace

    Pages 167-181

15. Working with Financial Data

    • Larry A. Pace

    Pages 183-199

16. Dealing with Big Data

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    Pages 201-214

17. Mining the Gold in Data and Text

    • Larry A. Pace

    Pages 215-236

18. Back Matter

    Pages 237-242

    PDF

R Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly learn the fundamentals and explore the frontiers of programming, analyzing and using R.

R Recipes provides textual and visual recipes for easy and productive templates for use and re-use in your day-to-day R programming and data analysis practice. Whether you're in finance, cloud computing, big or small data analytics, or other applied computational and data science - R Recipes should be a staple for your code reference library.

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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