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 โ 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 โ 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 โ 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 โ learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data
Get statistical โ find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests
Expand and customize R โ 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.