Statistical Analysis with R Essentials For Dummies (For Dummies (Computer/Tech))

**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,... Cover Table of Contents Title Page Copyright Introduction About This Book Foolish Assumptions Icons Used in This Book Where to Go from Here Chapter 1: Data, Statistics, and Decisions The Statistical (and Related) Notions You Just Have to Know Inferential Statistics: Testing Hypotheses Chapter 2: Introducing R Downloading R and RStudio A Session with R R Functions User-Defined Functions R Structures for Loops and if Statements Chapter 3: Digging Deeper Into R Packages More on Packages R Formulas Reading and Writing Chapter 4: Finding Your Center Means: The Lure of Averages The Average in R: mean() Medians: Caught in the Middle The Median in R: median() Statistics à la Mode The Mode in R Chapter 5: Deviating from the Average Measuring Variation Back to the Roots: Standard Deviation Standard Deviation in R Conditions, Conditions, Conditions ... Chapter 6: Standards, Standings, and Summaries Catching Some Zs Standard Scores in R Where Do You Stand? Creating Summaries How Many? The High and the Low Summarizing a Data Frame Chapter 7: What’s Normal? Hitting the Curve Distributions in R A Distinguished Member of the Family Chapter 8: The Confidence Game: Estimation Understanding Sampling Distributions An EXTREMELY Important Idea: The Central Limit Theorem Confidence: It Has its Limits! Fit to a t Chapter 9: One-Sample Hypothesis Testing Hypotheses, Tests, and Errors Hypothesis Tests and Sampling Distributions Catching Some Z's Again Z Testing in R t for One t Testing in R Working with t-Distributions Chapter 10: Two-Sample Hypothesis Testing Hypotheses Built for Two Sampling Distributions Revisited t for Two Like Peas in a Pod: Equal Variances t-Testing in R A Matched Set: Hypothesis Testing for Paired Samples Paired Sample t-testing in R Chapter 11: Testing More Than Two Samples Testing More Than Two ANOVA in R Another Kind of Hypothesis, Another Kind of Test Getting Trendy Trend Analysis in R Chapter 12: Linear Regression The Plot of Scatter Regression: What a Line! Testing Hypotheses about Regression Linear Regression in R Making Predictions Chapter 13: Correlation: The Rise and Fall of Relationships Understanding Correlation Correlation and Regression Testing Hypotheses About Correlation Analyzing Correlation in R Chapter 14: Ten Valuable Online Resources R-bloggers Posit Quick-R Stack Overflow R Manuals R Documentation RDocumentation YOU CANanalytics Geocomputation with R The R Journal Index About the Author Connect with Dummies End User License Agreement 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.