English | 2022 | ISBN: 1617296058 | 656 pages | EPUB | 15.88 MB
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.
InR in Action, Third Editionyou will learn how to:
Set up and install R and RStudioClean, manage, and analyze data with RUse the ggplot2 package for graphs and visualizationsSolve data management problems using R functionsFit and interpret regression modelsTest hypotheses and estimate confidenceSimplify complex multivariate data with principal components and exploratory factor analysisMake predictions using time series forecastingCreate dynamic reports and stunning visualizationsTechniques for debugging programs and creating packages
R in Action, Third Editionmakes 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.
About the Technology
Used daily by data scientists, researchers, and quants of all types, R is the gold standard for statistical data analysis. This free and open source language includes packages for everything from advanced data visualization to deep learning. Instantly comfortable for mathematically minded users, R easily handles practical problems without forcing you to think like a software engineer.
About the Book
R in Action, Third Editionteaches you how to do statistical analysis and data visualization using R and its popular tidyverse packages. In it, you’ll investigate real-world data challenges, including forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like clustering, classification, and time series analysis.
What’s Inside
Clean, manage, and analyze dataUse the ggplot2 package for graphs and visualizationsTechniques for debugging programs and creating packagesA complete learning resource for R and tidyverse
About the Reader
Requires basic math and statistics. No prior experience with R needed.
About the Author
Dr. Robert I Kabacoffis a professor of quantitative analytics at Wesleyan University and a seasoned data scientist with more than 20 years of experience.
Quotes
Kabacoff has outdone himself by significantly improving on the already excellent previous edition.
– Alain Lompo, ISO-Gruppe
R in Action has been my go-to reference on R for years. The third edition contains timely updates on the tidyverse and other new tools. I would recommend this book without hesitation.
– Daniel Kenney-Jung MD, Department of Pediatrics, Duke University
Outstandingly well-written. The best book on R programming that I have ever read.
– Kelvin Meeks, International Technology Ventures
Takes the reader through a series of essential methods from basic to complex. The only R book you will ever need.
– Martin Perry, Microsoft
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