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Author Kabacoff, Robert I., author.

Title R in action : data analysis and graphics with R and Tidyverse / Robert I. Kabacoff. [O'Reilly electronic resource]

Edition Third edition.
Publication Info. Shelter Island, NY : Manning Publications Co., [2022]
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Description 1 online resource (656 pages) : illustrations
Bibliography Includes bibliographical references and index.
Summary R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R's steep learning curve with practical solutions and real-world applications for commercial environments. R in Action, Third Edition makes learning R quick and easy. That's why thousands of data scientists have chosen this guide to help them master the powerful language. Far from being a dry academic tome, every example you'll encounter in this book is relevant to scientific and business developers, and helps you solve common data challenges. R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualizations. This revised and expanded third edition contains fresh coverage of the new tidyverse approach to data analysis and R's state-of-the-art graphing capabilities with the ggplot2 package.
Contents PART 1 GETTING STARTED -- 1 Introduction to R -- 2 Creating a dataset -- 3 Basic data management -- 4 Getting started with graphs -- 5 Advanced data management -- PART 2 BASIC METHODS -- 6 Basic graphs -- 7 Basic statistics -- PART 3 INTERMEDIATE METHODS -- 8 Regression -- 9 Analysis of variance -- 10 Power analysis -- 11 Intermediate graphs -- 12 Resampling statistics and bootstrapping -- PART 4 ADVANCED METHODS -- 13 Generalized linear models -- 14 Principal components and factor analysis -- 15 Time series -- 16 Cluster analysis -- 17 Classification -- 18 Advanced methods for missing data -- PART 5 EXPANDING YOUR SKILLS -- 19 Advanced graphs -- 20 Advanced programming -- 21 Creating dynamic reports -- 22 Creating a package
Subject R (Computer program language)
Statistics -- Data processing.
R (Langage de programmation)
Statistique -- Informatique.
R (Computer program language)
Statistics -- Data processing
ISBN 9781617296055 electronic book
1617296058 electronic book
9781638357018 electronic book
1638357013 electronic book
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