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 R—the 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 R
- Review what you’ve already learned or pick up essential new skills
- Perform statistical analysis for school, business, and beyond with R programming
- Keep 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.
Table of Content
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: What’s 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
About the author
Joseph Schmuller, Ph D, is a cognitive scientist and statistical analyst. He creates online learning tools and writes books on the technology of data science. His books include R All-in-One For Dummies and R Projects For Dummies.
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