R Programming: A Step-by-Step Guide for Absolute Beginners

R is a programming language and software environment for statistical analysis, graphics representation, and reporting. If you are trying to understand the R programming language as a beginner, this short book will give you enough understanding of almost all the concepts of the R language. The author will guide you through examples, how to program in R and how to use R for effective data analysis.<b>Buy your copy Now! </b><b><h2>Book Objectives</h2></b>This book is about R programming. The following are the objectives of the author:<ul><li>To familiarize you with the basics of R programming language.</li><li>To help you understand the various fields where R can be applied and its use cases in each field. </li><li> To equip you with R programming skills, both beginner and advanced skills.</li><li>To introduce you to R programming for data analysis. </li><li>To introduce you to R programming for machine learning.</li><li>To help you understand and appreciate the power of R in statistical computing, data analysis, and scientific research. </li></ul><b><h2>Who this Book is for? </h2></b><ul><li>Anybody who is a complete beginner to R Programming.</li><li> Anybody in need of advancing their R Programming skills. </li><li> Professionals in computer programming.</li><li>Professors, lecturers or tutors who are looking to find better ways to explain R programming to their students in the simplest and easiest way.</li><li> Students and academicians, especially those focusing on R, Data Analysis,Machine Learning , computer science, and Databases development. </li></ul><b><h2>Requirements</h2></b>The author expects you to have a computer installed with an operating system such as Linux, Windows or Mac OS X. <b><h2>What is inside the book?</h2></b><ul><li>R BASICS</li><li> R DATA TYPES</li><li> R VARIABLES AND CONSTANTS</li><li> R OPERATORS</li><li> DECISION MAKING IN R</li><li>R LOOPS</li><li> R FUNCTIONS</li><li>R CLASSES AND OBJECTS</li><li> R FOR DATA SCIENCE</li><li>R FOR MACHINE LEARNING</li></ul><b><h2>From the Back Cover.</h2></b>R programming language is one of the most popular languages used by statisticians, data analysts, researchers to retrieve, clean, analyze, visualize and present data. This is a comprehensive book on how to get started with R programming, why you should learn it and how you can learn it. Daniel Bell begins by introducing the readers to the foundations of the R programming language. The aim is to help you understand, how the R interpreter works, the origin of the name R, how to set up the R programming environment, etc. The author has discussed the process of installing R on Windows, Linux and Mac OS. Moreover, the author has explored the basics of R programming including writing comments, using the R console, creating R script files, etc. The various features provided by R have been discussed in depth, including data types, variables, loops, decision making, functions, operators, classes, and objects, etc. The author has also discussed R for data science and R for machine learning. The book has been organized into chapters, with each chapter having many sub-chapters. R code scripts have been provided, alongside thorough explanations of the code and images showing the expected output upon the execution of every script.