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Fair Use Source: B09X633939 (RinAct 2022)

R in Action, Third Edition - Data analysis with R and graphics with R and Tidyverse by Robert Kabacoff

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 time 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 R guide to help them master the powerful R language. Far from being a dry academic tome, every example you’ll encounter in this R book is relevant to R scientific development and R business development, and helps you solve common data challenges. R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy data and incomplete data to creating stunning R visualizations. This revised and expanded third edition contains fresh coverage of the new tidyverse approach to data analysis and state-of-the-art R graphing capabilities with the R ggplot2 package.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Used daily by data scientists, researchers, and quants of all types, R is the gold standard for R statistical data analysis. This free and open source language includes R packages for everything from R advanced data visualization to R deep learning. Instantly comfortable for mathematically minded users, R easily handles R practical problems without forcing you to think like a R software engineer.

R in Action, Third Edition teaches you how to do R statistical analysis and R data visualization using R programming language and its popular tidyverse packages. In it, you’ll investigate real-world data challenges, including data forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for R graphing with ggplot2, along with R examples for machine learning topics like clustering, classification, and time series analysis.

What's inside:

• Clean, manage, and analyze data
• Use the ggplot2 package for R graphs and R visualizations
• Techniques for debugging R programs and creating R packages
• A complete learning resource for R and tidyverse

Requires basic math and statistics. No prior experience with R needed.

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

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 providing statistical programming and data analytic support in business, healthcare, and government settings. He has taught both undergraduate and graduate courses in data analysis and statistical programming and manages the Quick-R website at https://statmethods.net and the R for Data Visualization website at https://rkabacoff.github.io/datavis.

• ASIN: B09X633939
• ISBN-10: 1617296058 - Fair Use Source: (1617296058 2022)
• ISBN-13: 978-1617296055 - 978-1617296055 on WorldCat.org
• Library of Congress Control Number (LCCN): ZZZ
• Publisher: Manning (May 31, 2022)
• Publication date: May 31, 2022
• Paperback: 656 pages
• Time to Complete: ZZZ

Research:

• R in Action on DuckDuckGo
• R in Action on O'Reilly
• R in Action on GitHub
• R in Action on Reddit
• R in Action on StackOverflow
• R in Action on scholar.google.com
• R in Action on YouTube

Fair Use Sources:

• B09X633939 (RinAct 2022)
• https://learning.oreilly.com/library/view/r-in-action/9781617291388

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