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Statistical Inference via Data Science
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An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools.
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Chester Ismay and Albert Y. Kim Foreword by Kelly S. McConville
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Statistical Inference via Data Science Welcome to ModernDive Foreword Preface Introduction for students What we hope you will learn from this book Data/science pipeline Reproducible research Final note for students Introduction for instructors Resources Why did we write this book? Who is this book for? Connect and contribute Acknowledgements About this book About the authors 1 Getting Started with Data in R 1.1 What are R and RStudio? 1.1.1 Installing R and RStudio 1.1.2 Using R via RStudio 1.2 How do I code in R? 1.2.1 Basic programming concepts and terminology 1.2.2 Errors, warnings, and messages 1.2.3 Tips on learning to code 1.3 What are R packages? 1.3.1 Package installation 1.3.2 Package loading 1.3.3 Package use 1.4 Explore your first datasets 1.4.1 nycflights13 package 1.4.2 flights data frame 1.4.3 Exploring data frames 1.4.4 Identification and measurement variables 1.4.5 Help files 1.5...
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