圖書標籤: R 統計 數據分析 statistics Meta-analysis 科普 數據處理
发表于2024-12-23
Data Analysis and Graphics Using R pdf epub mobi txt 電子書 下載 2024
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 practising 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.
John Maindonald is Visiting Fellow at the Mathematical Sciences Institute at the Australian National University. He has collaborated extensively with scientists in a wide range of application areas, from medicine and public health to population genetics, machine learning, economic history, and forensic linguistics.
W. John Braun is Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. He has collaborated with biostatisticians, biologists, psychologists, and most recently has become involved with a network of forestry researchers.
10.7.4 Chapter 10: Multi-level models and repeated measures
評分10.7.4 Chapter 10: Multi-level models and repeated measures
評分648旁聽教材 // 應用性較強,需要自己查很多方法和概念
評分10.7.4 Chapter 10: Multi-level models and repeated measures
評分648旁聽教材 // 應用性較強,需要自己查很多方法和概念
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評分
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Data Analysis and Graphics Using R pdf epub mobi txt 電子書 下載 2024