Beginning R

An Introduction to Statistical Programming

  • Authors
  • Larry Pace

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Larry Pace
    Pages 1-23
  3. Larry Pace
    Pages 25-46
  4. Larry Pace
    Pages 47-63
  5. Larry Pace
    Pages 65-76
  6. Larry Pace
    Pages 77-92
  7. Larry Pace
    Pages 93-101
  8. Larry Pace
    Pages 103-111
  9. Larry Pace
    Pages 113-123
  10. Larry Pace
    Pages 125-138
  11. Larry Pace
    Pages 139-147
  12. Larry Pace
    Pages 149-164
  13. Larry Pace
    Pages 165-183
  14. Larry Pace
    Pages 185-199
  15. Larry Pace
    Pages 201-216
  16. Larry Pace
    Pages 217-228
  17. Larry Pace
    Pages 229-246
  18. Larry Pace
    Pages 247-256
  19. Larry Pace
    Pages 269-288
  20. Larry Pace
    Pages 289-302
  21. Back Matter
    Pages 303-310

About this book


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

Bibliographic information

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