R in Action : Data Analysis and Graphics with R and Tidyverse, 3/e (Paperback)

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 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.

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

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 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 time 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.

Table of 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

R是進行統計分析的最強大工具。這本權威指南提供了實用解決方案和商業環境中的實際應用，以幫助您克服R的陡峭學習曲線。

在《R in Action, Third Edition》中，您將學習以下內容：
- 設置和安裝R和RStudio
- 使用R進行數據清理、管理和分析
- 使用ggplot2套件進行圖形和可視化
- 使用R函數解決數據管理問題
- 擬合和解釋回歸模型
- 測試假設並估計置信度
- 使用主成分和探索性因素分析簡化複雜的多變量數據
- 使用時間序列預測進行預測
- 創建動態報告和令人驚嘆的可視化效果
- 調試程序和創建套件的技巧

《R in Action, Third Edition》使學習R變得快速而容易。這就是為什麼成千上萬的數據科學家選擇這本指南來幫助他們掌握這個強大的語言。這本書中的每個例子都與科學和商業開發人員相關，並幫助您解決常見的數據挑戰。R專家Rob Kabacoff帶您快速了解統計學，從處理混亂和不完整的數據到創建令人驚嘆的可視化效果。這本修訂和擴展的第三版包含了對新的tidyverse數據分析方法和R的最新圖形能力（使用ggplot2套件）的全新涵蓋。

購買印刷版書籍還包括Manning Publications提供的PDF、Kindle和ePub格式的免費電子書。

關於技術：
R是數據科學家、研究人員和各種類型的量化分析師每天使用的黃金標準統計數據分析工具。這個免費且開源的語言包含了從高級數據可視化到深度學習的各種套件。對於數學思維的用戶來說，R非常容易上手，可以輕鬆處理實際問題，而不需要像軟體工程師一樣思考。

關於本書：
《R in Action, Third Edition》教您如何使用R及其流行的tidyverse套件進行統計分析和數據可視化。在這本書中，您將探索現實世界的數據挑戰，包括預測、數據挖掘和動態報告撰寫。這本修訂的第三版增加了使用ggplot2進行圖形繪製的新內容，並提供了聚類、分類和時間序列分析等機器學習主題的示例。

內容簡介：
- 數據清理、管理和分析
- 使用ggplot2套件進行圖形和可視化
- 程序調試和創建套件的技巧
- R和tidyverse的完整學習資源

讀者需求：
需要基本的數學和統計知識，無需R的先前經驗。

關於作者：
Robert I Kabacoff博士是韋斯利安大學的量化分析教授，擁有超過20年的資深數據科學家經驗。

目錄：
第1部分 入門
1 R簡介
2 創建數據集
3 基本數據管理
4 開始使用圖形
5 高級數據管理
第2部分 基本方法
6 基本圖形
7 基本統計
第3部分 中級方法
8 回歸
9 方差分析
10 功效分析
11 中級圖形
12 重抽樣統計和自助法
第4部分 高級方法
13 广义线性模型
14 主成分和因子分析
15 時間序列
16 聚類分析
17 分類
18 缺失數據的高級方法
第5部分 擴展技能
19 高級圖形
20 高級編程
21 創建動態報告
22 創建套件

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 statmethods.net and the R for Data Visualization website at rkabacoff.github.io/datavis.

Robert I. Kabacoff 博士 是威斯理安大學的數量分析學教授，也是一位經驗豐富的資料科學家，擁有超過 20 年的經驗，在商業、醫療和政府領域提供統計程式設計和數據分析支援。他曾教授過本科和研究生的數據分析和統計程式設計課程，並管理著 statmethods.net 的 Quick-R 網站和 rkabacoff.github.io/datavis 的 R 資料視覺化網站。