R all-in-one for dummies 2023

Book 1: Introducing R. 

CHAPTER 1: R: What It Does and How It Does It. 7

CHAPTER 2: Working with Packages, Importing, and Exporting. 37

Book 2: Describing Data.

CHAPTER 1: Getting Graphic. 53

CHAPTER 2: Finding Your Center. 93

CHAPTER 3: Deviating from the Average. 103

CHAPTER 4: Meeting Standards and Standings . 113

CHAPTER 5: Summarizing It All. 125

CHAPTER 6: What’s Normal?. 145

Book 3: Analyzing Data.

CHAPTER 1: The Confidence Game: Estimation . 165

CHAPTER 2: One-Sample Hypothesis Testing. 181

CHAPTER 3: Two-Sample Hypothesis Testing. 207

CHAPTER 4: Testing More than Two Samples. 233

CHAPTER 5: More Complicated Testing. 257

CHAPTER 6: Regression: Linear, Multiple, and the General Linear Model. 279

CHAPTER 7: Correlation: The Rise and Fall of Relationships. 315

CHAPTER 8: Curvilinear Regression: When Relationships Get Complicated. 335

CHAPTER 9: In Due Time. 359

CHAPTER 10: Non-Parametric Statistics. 371

CHAPTER 11: Introducing Probability. 393

CHAPTER 12: Probability Meets Regression: Logistic Regression. 415

Book 4: Learning from Data.

CHAPTER 1: Tools and Data for Machine Learning Projects. 425

CHAPTER 2: Decisions, Decisions, Decisions. 449

CHAPTER 3: Into the Forest, Randomly. 467

CHAPTER 4: Support Your Local Vector . 483

CHAPTER 5: K-Means Clustering . 503

CHAPTER 6: Neural Networks. 519

CHAPTER 7: Exploring Marketing. 537

CHAPTER 8: From the City That Never Sleeps. 557

Book 5: Harnessing R: Some Projects to Keep You Busy

CHAPTER 1: Working with a Browser . 575

CHAPTER 2: Dashboards — How Dashing! . 603