R For Dummies

R For Dummies book cover

R For Dummies

Author(s): Andrie de Vries (Author), Joris Meys (Author)

  • Publisher: John Wiley & Sons
  • Publication Date: 20 July 2012
  • Edition: 1st
  • Language: English
  • Print length: 406 pages
  • ISBN-10: 1119962846
  • ISBN-13: 9781119962847

Book Description

Master the programming language of choice among statisticians and data analysts worldwide

Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you′ll ever need. Requiring no prior programming experience and packed with practical examples, easy, step–by–step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate–level programmers will find extremely useful.

  • Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables
  • Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel
  • Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more
  • Visualize it ? learn to use R′s powerful data visualization features to create beautiful and informative graphical presentations of your data
  • Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t–tests
  • Expand and customize R ? get the lowdown on how to find, install, and make the most of add–on packages created by the global R community for a wide variety of purposes
  • Open the book and find:
  • Help downloading, installing, and configuring R
  • Tips for getting data in and out of R
  • Ways to use data frames and lists to organize data
  • How to manipulate and process data
  • Advice on fitting regression models and ANOVA
  • Helpful hints for working with graphics
  • How to code in R
  • What R mailing lists and forums can do for you

Editorial Reviews

From the Back Cover

Master the programming language of choice among statisticians and data analysts worldwide

Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you′ll ever need. Requiring no prior programming experience and packed with practical examples, easy, step–by–step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate–level programmers will find extremely useful.

  • Master your R ABCs get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables
  • Put data in its place get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel
  • Make data dance to your tune learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more
  • Visualize it learn to use R′s powerful data visualization features to create beautiful and informative graphical presentations of your data
  • Get statistical find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t–tests
  • Expand and customize R get the lowdown on how to find, install, and make the most of add–on packages created by the global R community for a wide variety of purposes

Open the book and find:

  • Help downloading, installing, and configuring R
  • Tips for getting data in and out of R
  • Ways to use data frames and lists to organize data
  • How to manipulate and process data
  • Advice on fitting regression models and ANOVA
  • Helpful hints for working with graphics
  • How to code in R
  • What R mailing lists and forums can do for you

Learn to:

  • Use R for data analysis and processing
  • Write functions and scripts for repeatable analysis
  • Create high–quality charts and graphics
  • Perform statistical analysis and build models

About the Author

Andrie de Vries is a market research consultant specializing in surveys, statistical analysis, and strategy.

Joris Meys is a statistician and R programmer with the faculty of bio–engineering at the University of Ghent.

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