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R in a Nutshell: A Desktop Quick Reference (Softcover)

R in a Nutshell: A Desktop Quick Reference (Softcover)

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GOOD: The book is in good condition, showing some signs of use and wear (namely, bent corners); however, the pages are clean, and the RepKover™ durable and flexible lay-flat binding is intact.

Product Details

From the back cover: "You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.

"The author introduces you to the R environment, including the R graphical user interface and console, and takes you through the fundamentals of the object-oriented R language. Then, through a variety of practical examples from medicine, business, and sports, you'll learn how you can use this remarkable tool to solve your own data analysis problems.

  • "Understand the basics of the language, including the nature of R objects.
  • Learn how to write R functions and build your own packages.
  • Work with data through visualization, statistical analysis, and other methods.
  • Explore the wealth of packages contributed by the R community.
  • Become familiar with the lattice graphics package for high-level data visualization.
  • Learn about bioinformatics packages provided by Bioconductor."


BRIEF CONTENTS

  • Preface
  • Part I. R Basics
    • 1. Getting and Installing R
    • 2. The R User Interface
    • 3. A Short R Tutorial
    • 4. R Packages
  • Part II. The R Language
    • 5. An Overview of the R Language
    • 6. R Syntax
    • 7. R Objects
    • 8. Symbols and Environments
    • 9. Functions
    • 10. Object-Oriented Programming
    • 11. High-Performance R
  • Part III. Working with Data
    • 12. Saving, Loading, and Editing Data
    • 13. Preparing Data
    • 14. Graphics
    • 15. Lattice Graphics
  • Part IV. Statistics with R
    • 16. Analyzing Data
    • 17. Probability Distributions
    • 18. Statistical Tests
    • 19. Power Tests
    • 20. Regression Models
    • 21. Classification Models
    • 22. Machine Learning
    • 23. Time Series Analysis
    • 24. Bioconductor
  • Appendix: R Reference
  • Bibliography
  • Index
View full details

AUTHOR: Adler;Joseph
PUBLISHER: O'Reilly Media
ISBN-13: 9780596801700
ISBN-10: 059680170X
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