A Practical Guide to Data Analysis Using R: An Example-Based Approach (使用 R 進行數據分析的實用指南:基於範例的方法)
Maindonald, John H., Braun, W. John, Andrews, Jeffrey L.
- 出版商: Cambridge
- 出版日期: 2024-08-08
- 售價: $3,150
- 貴賓價: 9.5 折 $2,993
- 語言: 英文
- 頁數: 550
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1009282271
- ISBN-13: 9781009282277
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相關分類:
R 語言、Data Science
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商品描述
Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them? Building on the successful 'Data Analysis and Graphics Using R, ' 3rd edition (Cambridge, 2010), it expands upon topics including cluster analysis, exponential time series, matching, seasonality, and resampling approaches. An extended look at p-values leads to an exploration of replicability issues and of contexts where numerous p-values exist, including gene expression. Developing practical intuition, this book assists scientists in the analysis of their own data, and familiarizes students in statistical theory with practical data analysis. The worked examples and accompanying commentary teach readers to recognize when a method works and, more importantly, when it doesn't. Each chapter contains copious exercises. Selected solutions, notes, slides, and R code are available online, with extensive references pointing to detailed guides to R.
商品描述(中文翻譯)
本書透過多樣的真實案例,探討在特定研究背景下,數據分析所使用的模型意味著什麼。分析背後的假設是什麼,您該如何檢查這些假設?本書基於成功的《Data Analysis and Graphics Using R》第三版(劍橋,2010),擴展了包括聚類分析、指數時間序列、匹配、季節性和重抽樣方法等主題。對 p 值的深入探討引出了可重複性問題的探索,以及存在大量 p 值的情境,包括基因表達。這本書發展實用的直覺,幫助科學家分析自己的數據,並使統計理論的學生熟悉實際的數據分析。書中的範例和附帶的評論教導讀者識別何時方法有效,更重要的是,何時方法無效。每章都包含大量練習題。選定的解答、註解、幻燈片和 R 代碼可在線獲得,並提供廣泛的參考資料,指向詳細的 R 指導手冊。