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This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. Some of the new material includes information on RStudio, S4 syntax, working with character strings, and an example using the Twitter API.
With a copy of the R Quick Syntax Reference in hand, you will find that you are able to use the multitude of functions available in R and are even able to write your own functions to explore and analyze data.

What You Will Learn

Discover the modes and classes of R objects and how to use them

Use both packaged and user-created functions in R

Import/export data and create new data objects in R

Create descriptive functions and manipulate objects in R

Take advantage of flow control and conditional statements

Work with packages such as base, stats, and graphics

Who This Book Is For
Those with programming experience, either new to R, or those with at least some exposure to R but who are new to the latest version.

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Part 1: R Basics 1. Downloading R and Setting Up a File System 2. The R Prompt 3. Assignments and Operators
Part 2: Kinds of Objects 4. Modes of Objects 5. Classes of Objects
Part 3: Functions 6. Packaged Functions 7. User Created Functions 8. How to Use a Function
Part 4: I/O and Manipulating Objects 9. Importing/Creating Data 10. Exporting from R 11. Descriptive Functions and Manipulating Objects
Part 5: Flow control 12. Flow Control 13. Examples of Flow Control 14. The Functions ifelse() and switch()
Part 6: Some Common Functions, Packages and Techniques 15. Some Common Functions 16. The Packages base, stats and graphics 17. The Tricks of the Trade

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Margot Tollefson is a self-employed consulting statistician residing in the tiny town of Stratford in the corn and soybean fields of north-central Iowa. She started using the S-Plus language in the early 1990s and was happy to switch to R about ten years ago. Margot enjoys writing her own functions in R - to do plots and simulations, as well as to implement custom modeling and use published statistical methods. She earned her graduate degrees in statistics from Iowa State University in Ames, Iowa.

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