R in Action: Data analysis and graphics with R and Tidyverse, 3rd Edition (True EPUB)

[LeeAndro]

English | May 3, 2022 | ISBN: 1617296058 | True EPUB | 656 pages | 16.1 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.

In R in Action, Third Edition you will learn how to

Set up and install R and RStudio
Clean, manage, and analyze data with R
Use the ggplot2 package for graphs and visualizations
Solve data management problems using R functions
Fit and interpret regression models
Test hypotheses and estimate confidence
Simplify complex multivariate data with principal components and exploratory factor analysis
Make predictions using series forecasting
Create dynamic reports and stunning visualizations
Techniques for debugging programs and creating packages

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 acad 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 eeer.

About the book

R in Action, Third Edition teaches 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 series analysis.

What's inside

Clean, manage, and analyze data
Use the ggplot2 package for graphs and visualizations
Techniques for debugging programs and creating packages
A 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 Kabacoff is a professor of quantitative analytics at Wesleyan University and a seasoned data scientist with more than 20 years of experience.



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