Statistical Analysis with R Essentials For Dummies®

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Title Page....8 Copyright....9 Introduction....11 About This Book....11 Foolish Assumptions....11 Icons Used in This Book....12 Where to Go from Here....12 Chapter 1: Data, Statistics, and Decisions....13 The Statistical (and Related) Notions You Just Have to Know....13 Inferential Statistics: Testing Hypotheses....18 Chapter 2: Introducing R....21 Downloading R and RStudio....21 A Session with R....24 R Functions....29 User-Defined Functions....31 R Structures....33 for Loops and if Statements....43 Chapter 3: Digging Deeper Into R....46 Packages....46 More on Packages....49 R Formulas....51 Reading and Writing....52 Chapter 4: Finding Your Center....58 Means: The Lure of Averages....58 The Average in R: mean()....60 Medians: Caught in the Middle....62 The Median in R: median()....63 Statistics à la Mode....63 The Mode in R....64 Chapter 5: Deviating from the Average....65 Measuring Variation....65 Back to the Roots: Standard Deviation....71 Standard Deviation in R....72 Conditions, Conditions, Conditions …....73 Chapter 6: Standards, Standings, and Summaries....75 Catching Some Zs....75 Standard Scores in R....76 Where Do You Stand?....77 Creating Summaries....81 How Many?....82 The High and the Low....84 Summarizing a Data Frame....84 Chapter 7: What’s Normal?....87 Hitting the Curve....87 Distributions in R....91 A Distinguished Member of the Family....94 Chapter 8: The Confidence Game: Estimation....96 Understanding Sampling Distributions....97 An EXTREMELY Important Idea: The Central Limit Theorem....98 Confidence: It Has its Limits!....100 Fit to a t....103 Chapter 9: One-Sample Hypothesis Testing....107 Hypotheses, Tests, and Errors....107 Hypothesis Tests and Sampling Distributions....109 Catching Some Z's Again....111 Z Testing in R....114 t for One....116 t Testing in R....117 Working with t-Distributions....118 Chapter 10: Two-Sample Hypothesis Testing....119 Hypotheses Built for Two....119 Sampling Distributions Revisited....120 t for Two....128 Like Peas in a Pod: Equal Variances....128 t-Testing in R....130 A Matched Set: Hypothesis Testing for Paired Samples....133 Paired Sample t-testing in R....135 Chapter 11: Testing More Than Two Samples....136 Testing More Than Two....136 ANOVA in R....142 Another Kind of Hypothesis, Another Kind of Test....148 Getting Trendy....152 Trend Analysis in R....153 Chapter 12: Linear Regression....155 The Plot of Scatter....155 Regression: What a Line!....157 Testing Hypotheses about Regression....162 Linear Regression in R....165 Making Predictions....167 Chapter 13: Correlation: The Rise and Fall of Relationships....168 Understanding Correlation....168 Correlation and Regression....170 Testing Hypotheses About Correlation....173 Analyzing Correlation in R....175 Chapter 14: Ten Valuable Online Resources....176 R-bloggers....176 Posit....176 Quick-R....176 Stack Overflow....177 R Manuals....177 R Documentation....177 RDocumentation....177 YOU CANanalytics....178 Geocomputation with R....178 The R Journal....178 Index....179 About the Author....208 Connect with Dummies....212 End User License Agreement....214
Описание
В этом материале разберём тему: analysis.
The easy way to get started coding and analyzing data in the R programming language
This no-nonsense book gets right to the point, eliminating review material, wordy explanations, and fluff. 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. 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 workThis 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.
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автор — Schmuller Joseph, издательство John Wiley & Sons, Inc., год выпуска 2024, 214 страниц.
О чём книга «Statistical Analysis with R Essentials For Dummies®»?
The easy way to get started coding and analyzing data in the R programming languageStatistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R―the widely used, open-source programming language and d