R for Dummies

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