{"product_id":"the-book-of-r-2nd-edition-isbn-9781718503687","title":"The Book of R, 2nd Edition","description":"\u003cb\u003eThis long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and statistical analysis.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003ci\u003eThe Book of R\u003c\/i\u003e is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin writing programs in R.\u003cbr\u003e\u003cbr\u003eYou’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing tests and modeling. You’ll even learn how to create impressive data visualizations with R’s graphics tools and contributed packages, like ggplot2, ggvis, and rgl.\u003cbr\u003e\u003cbr\u003eDozens of hands-on exercises take you from theory to practice as you learn:\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eThe fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops\u003c\/li\u003e\n\u003cli\u003eStatistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling and how to execute them in R\u003c\/li\u003e\n\u003cli\u003eHow to access R’s thousands of functions, libraries, and datasets\u003c\/li\u003e\n\u003cli\u003eHow to draw valid and useful conclusions from your data and create publication-quality graphics of your results\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003ci\u003eThe Book of R\u003c\/i\u003e brings both statistics and R to life. With clear explanations, practical examples, and hands-on exercises, this book opens the door to the evolving world of data analysis.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eNew to this edition:\u003c\/b\u003e The entire book has been revised and expanded, with nearly 100 pages of new content and exercises. You’ll find greater coverage of data plots and R graphics, guidance on using pipes to string together commands, and new ways to read and write external files, among many other lessons.Preface\u003cbr\u003eAcknowledgments\u003cbr\u003eIntroduction\u003cbr\u003e\u003cbr\u003ePART I: THE LANGUAGE\u003cbr\u003eChapter 1: Getting Started\u003cbr\u003eChapter 2: Numerics, Arithmetic, Assignment, and Vectors\u003cbr\u003eChapter 3: Matrices and Arrays\u003cbr\u003eChapter 4: Non-Numeric Values\u003cbr\u003eChapter 5: Lists and Data Frames\u003cbr\u003eChapter 6: Special Values, Classes, and Coercion\u003cbr\u003eChapter 7: Basic Plotting\u003cbr\u003eChapter 8: Reading and Writing Files\u003cbr\u003e\u003cbr\u003ePART II: PROGRAMMING\u003cbr\u003eChapter 9: Calling Functions\u003cbr\u003eChapter 10: Conditions and Loops\u003cbr\u003eChapter 11: Writing Functions\u003cbr\u003eChapter 12: Exceptions, Timings, and Visibility\u003cbr\u003e\u003cbr\u003ePART III: STATISTICS AND PROBABILITY\u003cbr\u003eChapter 13: Elementary Statistics\u003cbr\u003eChapter 14: Basic Data Visualizations\u003cbr\u003eChapter 15: Probability\u003cbr\u003eChapter 16: Common Probability Distributions\u003cbr\u003e\u003cbr\u003ePART IV: STATISTICAL TESTING AND MODELING\u003cbr\u003eChapter 17: Sampling Distributions and Confidence\u003cbr\u003eChapter 18: Hypothesis Testing\u003cbr\u003eChapter 19: Analysis of Variance\u003cbr\u003eChapter 20: Simple Linear Regression\u003cbr\u003eChapter 21: Multiple Linear Regression\u003cbr\u003eChapter 22: Linear Model Selection and Diagnostics\u003cbr\u003e\u003cbr\u003ePART V: ADVANCED GRAPHICS\u003cbr\u003eChapter 23: Advanced Plot Customization\u003cbr\u003eChapter 24: Going Further with the Grammar of Graphics\u003cbr\u003eChapter 25: Defining Colors and Plotting in Higher Dimensions\u003cbr\u003eChapter 26: Interactive 3D Plots\u003cbr\u003e\u003cbr\u003eAppendix A: Installing R and Contributed Packages\u003cbr\u003eAppendix B: Working with RStudio\u003cbr\u003eReference List“A game changer.”\u003cbr\u003e\u003cb\u003e—Kirk Borne, principal data scientist at Booz Allen Hamilton\u003cbr\u003e\u003c\/b\u003e\u003cb\u003eTilman M. Davies\u003c\/b\u003e is an academic at the Department of Mathematics and Statistics at the University of Otago in New Zealand, where he teaches statistics at all university levels. He has been programming in R since the early 2000s and uses it in all of his courses. Davies has received multiple significant research grants for his methodological work in spatial statistics and in 2024 received the Littlejohn Award, the premier research award of the New Zealand Statistical Association.","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":46302159569125,"sku":"NP9781718503687","price":79.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781718503687.jpg?v=1767738478","url":"https:\/\/k12savings.com\/es\/products\/the-book-of-r-2nd-edition-isbn-9781718503687","provider":"K12savings","version":"1.0","type":"link"}