內容簡介
本書注重實用性，是一本全面而細緻的R指南，高度概括了該軟體和它的強大功能，展示了使用的統計示例，且對於難以用傳統方法處理的凌亂、不完整和非正態的數據給出了優雅的處理方法。作者不僅高度概括了R語言的強大功能，展示了各種實用的統計示例，而且對於難以用傳統方法分析的凌亂、不完整和非正態的數據也給出了完備的處理方法。第2版新增6章內容，涵蓋時間序列、聚類分析、分類、高級編程、創建包和創建動態報告等，並分別詳細介紹了如何使用ggplot2和lattice進行高級繪圖。通讀本書，你將全面掌握使用R語言進行數據分析、數據挖掘的技巧，領略大量探索和展示數據的圖形功能，並學會如何撰寫動態報告，從而更加高效地進行分析與溝通。
本書作者
Robert I. Kabacoff
R語言社區學習網站Quick-R的維護者，現為全球化開發與諮詢公司Management研究集團研發副總裁。此前，Kabacoff博士是佛羅裡達諾瓦東南大學的教授，講授定量方法和統計編程的研究生課程。Kabacoff還是臨床心理學博士、統計顧問，擅長數據分析，在健康、金融服務、製造業、行為科學、政府和學術界有20餘年的研究和統計諮詢經驗。
Summary
R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.
About the Book
R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing.
What's Inside
Complete R language tutorial
Using R to manage, analyze, and visualize data
Techniques for debugging programs and creating packages
OOP in R
Over 160 graphs
About the Author
Dr. Rob Kabacoff is a seasoned researcher and teacher who specializes in data analysis. He also maintains the popular Quick-R website at statmethods.net.
註：資料來源於網絡
薦書 | R for Data Science
薦書 | R for Everyone
薦書 | 入門機器學習，有R就足夠了！