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