R for dummies - Andrie De Vries

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 youll ever need. Requiring no prior programming experience and packed with practical examples, easy, stepbystep exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediatelevel 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 Rs 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 ttests


• Expand and customize R
  get the lowdown on how to find, install, and make the most of addon 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 highquality charts and graphics


• Perform statistical analysis and build models