Mastering R : A Beginner's Guide

R is a statistical computing and graphics programming language that you can use to clean, analyze, and graph data. It is widely used by researchers from various disciplines to estimate and display results and by teachers of statistics and research methods. This book is a detailed guide for beginners to understand R with an explanation of core statistical and research ideas. One of the powerful characteristics of R is that it is open-source, which means that anyone can access the underlying code used to run the program and add their own code for free. It will always be able to perform the latest statistical analyses as soon as anyone thinks of them. R corrects mistakes quickly and transparently and has put together a community of programming and statistical experts that you can turn to for help. Mastering R: A Beginner’s Guide not only explains how to program but also how to use R for visualization and modeling. The fundamental principles of R explained here are helpful to beginner and intermediate users interested in learning this highly technological and diverse language. Cover Half Title Series Page Title Page Copyright Page Dedication Contents About the Editor Acknowledgments Zeba Academy – Mastering Computer Science CHAPTER 1: Introduction to R DATA SCIENCE Data Science Life Cycle Data Science Process INTRODUCTION TO R ENVIRONMENT OF R ORIGIN OF R HISTORY R VERSUS PYTHON How Does R Work? R Is Software Usage Use of the R Programming Language in Various Areas R in Research and Academics R Use Cases in Research and Academia R in IT Sectors R in Finance R for Social Media R in Banking R in Healthcare R in Manufacturing R in the Governmental Department SOME OTHER APPLICATIONS OF R THE MOST POPULAR R PACKAGES R PACKAGE COMPREHENSIVE R ARCHIVE NETWORK IDE AND EDITORS RStudio R Tools for Visual Studio Rattle Installing Rattle Installing on Ubuntu 22.04 Installing on Macintosh OS X (Leopard and Lion) DESIGN OF THE R SYSTEM INTRODUCTION TO RSTUDIO How to Install RStudio Installing R Installing RStudio DOWNLOAD AND INSTALL R INSTALLING RSTUDIO ON WINDOWS RSTUDIO RSTUDIO INSTALLATION RStudio Desktop RStudio Server RSTUDIO USER INTERFACE StatET for R Installation of StatET For Windows For Mac KWard Tinn-R R AnalyticFlow Why AnalyticFlow? ADVANTAGES OF R PROGRAMMING DISADVANTAGES OF R PROGRAMMING CHAPTER SUMMARY NOTES CHAPTER 2: Handling Data with R GETTING STARTED WITH THE RSTUDIO APPLICATION THE CONSOLE The Text Editor File Browser Tab “Environment” Tab Code Completion Retrieving Previous Commands Console Title Bar Keyboard Shortcuts Basic Syntax in R Programming R Syntax Variables in R Creating Variables in R Print/Output Variables Comments Types of Comments Comments in R Single-Line Comments in R Keywords in R Quick Navigation between Windows Console Keyboard Shortcuts Completions (Console and Source) Help Debug Plots Git/SVN Session Terminal Accessibility Main Menu (Server) DATA TYPES IN R Logical Data Type Numeric Data Type Integer Data Type Complex Data Type Character Data Type Raw Data Type Find Data Type of an Object Type Verification Convert an Object’s Data Type to Another NOMENCLATURE OF R VARIABLES IMPORTANT METHODS FOR VARIABLES class() Function ls() Function rm() Function Scope of Variable in R VARIABLE NAMING CONVENTION The Scope of a Variable How to Access Local Variable Globally How Does the Super Assignment Operator Work? R Programming Environment DATA STRUCTURE IN R GETTING DATA IN R CHAPTER SUMMARY NOTES CHAPTER 3: Variables and Operators INTRODUCTION Rules for Writing Identifiers in R Constants in R Valid Identifiers in R Invalid Identifiers in R Numerical Constants Character Constants Constants: Built-in Constants BASIC OPERATIONS IN R