Book Image

R Object-oriented Programming

By : Black
Book Image

R Object-oriented Programming

By: Black

Overview of this book

This book is designed for people with some experience in basic programming practices. It is also assumed that they have some basic experience using R and are familiar using the command line in an R environment. Our primary goal is to raise a beginner to a more advanced level to make him/her more comfortable creating programs and extending R to solve common problems.
Table of Contents (14 chapters)
4
4. Calculating Probabilities and Random Numbers
12
A. Package Management
13
Index

Chapter 1. Data Types

In this chapter, we provide a broad overview of the different data types available in the R environment. This material is introductory in nature, and this chapter ensures that important information on implementing algorithms is available to you. There are roughly five parts in this chapter:

  • Working with variables in the R environment: This section gives you a broad overview of interacting with the R shell, creating variables, deleting variables, saving variables, and loading variables
  • Discrete data types: This section gives you an overview of the principle data types used to represent discrete data
  • Continuous data types: This section gives you an overview of the principle data types used to represent continuous data
  • Introduction to vectors: This section gives you an introduction to vectors and manipulating vectors in R
  • Special data types: This section gives you a list of other data types that do not fit in the other categories or have other meanings