The easy way to get started coding and analyzing data in the R programming language

Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about Rthe widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the point, eliminating review material, wordy explanations, and fluff. Understand all you need to know about the foundations of R, swiftly and clearly. Perfect for a brush-up on the basics or as an everyday desk reference on the job, this is the reliable little book you can always turn to for answers.Get a quick and thorough intro to the basic concepts of coding for data analysis in RReview what you've already learned or pick up essential new skillsPerform statistical analysis for school, business, and beyond with R programmingKeep this concise reference book handy for jogging your memory as you work

This book is to the point, focusing on the key topics readers need to know about this popular programming language. Great for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job.

Joseph Schmuller, PhD, is a cognitive scientist and statistical analyst. He creates online learning tools and writes books on the technology of data science. His books includeR All-in-One For DummiesandR Projects For Dummies.

Introduction 1

Chapter 1: Data, Statistics, and Decisions 3

Chapter 2: Introducing R 11

Chapter 3: Digging Deeper Into R 37

Chapter 4: Finding Your Center 49

Chapter 5: Deviating from the Average 57

Chapter 6: Standards, Standings, and Summaries 67

Chapter 7: Whats Normal? 81

Chapter 8: The Confidence Game: Estimation 89

Chapter 9: One-Sample Hypothesis Testing 99

Chapter 10: Two-Sample Hypothesis Testing 111

Chapter 11: Testing More Than Two Samples 129

Chapter 12: Linear Regression 147

Chapter 13: Correlation: The Rise and Fall of Relationships 161

Chapter 14: Ten Valuable Online Resources 169

Index 173