R For Dummies

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

All the R you need for statistical and data analysis, explained in plain English!

Do you have to use R on the job, but you don′t know much about programming? Relax! Here′s a quick and painless guide to using R for all sorts of statistical and data analysis. Through real–world examples and step–by–step exercises you′ll learn how to reshape and manipulate data, perform calculations, create graphical representations, and more.

Get started with R acquire and install R, learn what makes R unique, compare code editors, and write your first R script Play well with others see how R interacts with Excel and other programs and why statisticians and data analysts favor it R ABCs make your code clear and explore functions and arguments A calculating side take advantage of R′s calculating power, working with numbers, infinity, missing values, mathematical functions, and vectors Get textual use character vectors for text data, manipulate text, and work with strings and factors Data tells a tale manipulate and process data using subsets, merge data from different sources, sort it, and summarize using statistical techniques Go graphic present your data visually using plots and lattice graphics

Open the book and find:

User packages that extend R Tips for getting data into and out of R How R handles basic arithmetic What to do with regression models Advice on managing the logical flow Effective debugging strategies How to incorporate dates and times Additional graphics packages you can use

Andrie de Vries is a leading R expert and Business Services Director for Revolution Analytics. With over 20 years of experience, he provides consulting and training services in the use of R. Joris Meys is a statistician, R programmer and R lecturer with the faculty of Bio–Engineering at the University of Ghent.