Items related to A Practical Guide to Data Analysis Using R: An Example-Based...
- PublisherCambridge University Press
- Publication date2024
- ISBN 10 1009282271
- ISBN 13 9781009282277
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages550
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Practical Guide to Data Analysis Using R : An Example-based Approach
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Cambridge University Press, 2024
ISBN 10: 1009282271
ISBN 13: 9781009282277
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A Practical Guide to Data Analysis Using R
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ISBN 10: 1009282271
ISBN 13: 9781009282277
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A Practical Guide to Data Analysis Using R
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ISBN 10: 1009282271
ISBN 13: 9781009282277
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Practical Guide to Data Analysis Using R : An Example-based Approach
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Cambridge University Press, 2024
ISBN 10: 1009282271
ISBN 13: 9781009282277
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A Practical Guide to Data Analysis Using R: An Example-Based Approach
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ISBN 10: 1009282271
ISBN 13: 9781009282277
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A Practical Guide to Data Analysis Using R
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ISBN 10: 1009282271
ISBN 13: 9781009282277
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A Practical Guide to Data Analysis Using R
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ISBN 10: 1009282271
ISBN 13: 9781009282277
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Practical Guide to Data Analysis Using R : An Example-based Approach
Published by
Cambridge University Press, 2024
ISBN 10: 1009282271
ISBN 13: 9781009282277
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Hardcover
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A Practical Guide to Data Analysis Using R: An Example-Based Approach
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Cambridge University Press, 2024
ISBN 10: 1009282271
ISBN 13: 9781009282277
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A Practical Guide to Data Analysis Using R (Hardcover)
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ISBN 10: 1009282271
ISBN 13: 9781009282277
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Hardcover. Condition: new. Hardcover. 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. Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical presentation. It assists scientists in the analysis of their own data, demonstrating how to check the underlying assumptions, and gives students in statistical theory exposure to practical data analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781009282277
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