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