Author Description

What is R? R is a popular programming language used for statistical computing and graphical presentation. Its most common use is to analyze and visualize data. Why Use R? It is a great resource for data analysis, data visualization, data science and machine learning It provides many statistical techniques (such as statistical tests, classification, clustering and data reduction) It is easy to draw graphs in R, like pie charts, histograms, box plot, scatter plot, etc. It works on different platforms (Windows, Mac, Linux) It is open-source and free It has a large community support It has many packages (libraries of functions) that can be used to solve different problems Suggestion to readers This Book will teach you the basics of R. This book is written only for those who love programming and have basic understanding of programming. TABLE OF CONTENTS BIBLIOGRAPHY DEDICATION ACKNOWLEDGEMENTS FOREWORD PREFACE CHAPTER-1 R BASIC 1.1 R - Home 1.2 R - Overview 1.3 R - Environment Setup 1.4 R - Basic Syntax 1.5 R - Data Types 1.6 R - Variables 1.7 R - Operators 1.8 R - Decision Making 1.9 R - Loops 1.10 R - Functions 1.11 R - Strings 1.12 R - Vectors 1.13 R - Lists 1.14 R - Matrices 1.15 R - Arrays 1.16 R - Factors 1.17 R - Data Frames 1.18 R - Packages 1.19 R - Data Reshaping CHAPTER-2 R DATA INETRFACES 2.1 R – CSV Files 2.2 R – Excel Files 2.3 R – Binary Files 2.4 R – XML Files 2.5 R – JSON Files 2.6 R – Web Data 2.7 R – Database CHAPTER-3 R CHARTS & GRAPHS 3.1 R – Pie Charts 3.2 R – Bar Charts 3.3 R – Boxplots 3.4 R – Histograms 3.5 R – Line Graphs 3.6 R – Scatterplots CHAPTER-4 R-STATISTICS 4.1 R – Mean, Median & Mode 4.2 R – Linear Regression 4.3 R – Multiple Regression 4.4 R – Logistic Regression 4.5 R – Normal Distribution 4.6 R –