Data Analysis and Graphics Using R: An Example-Based Approach, 3/e (Hardcover)

John Maindonald, W. John Braun

  • 出版商: Cambridge
  • 出版日期: 2010-06-07
  • 售價: $4,530
  • 貴賓價: 9.5$4,304
  • 語言: 英文
  • 頁數: 549
  • 裝訂: Hardcover
  • ISBN: 0521762936
  • ISBN-13: 9780521762939
  • 相關分類: R 語言Data Science
  • 海外代購書籍(需單獨結帳)

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商品描述

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practicing statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.

商品描述(中文翻譯)

發掘您可以用 R 做什麼! 介紹 R 系統,涵蓋標準迴歸方法,然後處理更高級的主題,本書引導用戶使用 R 系統提供的實用且強大的工具。重點是實踐分析、圖形顯示和數據解釋。許多實例來自真實世界的研究,並附有對所做工作和原因的評論。附帶的網站提供代碼和數據集,讓讀者能夠重現所有分析,以及選定練習的解答和更新。假設具備基本統計知識和一些數據分析經驗(但不熟悉 R),本書非常適合研究科學家、應用統計學的大四本科生或研究生以及實踐統計學家。它既適用於學習又適用於參考。本書的第三版擴展了貝葉斯推斷、變量誤差、廣義線性混合模型和隨機森林等主題。