Chapter 1, Installing and Configuring R and its Libraries, covers the recipes on how to install and configure R and its libraries on Windows and Linux platforms.
Chapter 2, Data Structures in R, covers the data structures of R and how to create and access their properties and various operations related to a specific data structure.
Chapter 3, Writing Customized Functions, guides you to create your own customized functions and understand how to work with various data types within a function and access an output of a function.
Chapter 4, Conditional and Iterative Operations, covers the use of conditional and repetition operators in R.
Chapter 5, R Objects and Classes, guides you in creating the S3 and S4 objects and how to use them in a variety of applications.
Chapter 6, Querying, Filtering, and Summarizing, introduces you to the dplyr library for data processing. This is one of the most popular libraries in R for data processing.
Chapter 7, R for Text Processing, covers the recipes related to working with unstructured text data.
Chapter 8, R and Databases, helps you learn how to interact with a database management system to develop statistical applications.
Chapter 9, Parallel Processing in R, uses the parallel processing approach to solve memory problems with a larger dataset and uses the XDF file for processing.