A Practical Guide to Data Analysis Using R - Hardcover
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Real-world case studies illustrate practical data analysis applications for researchers
Extensive R code, solutions, and notes provided online for hands-on learning
Detailed exploration of p-values and replicability issues for rigorous statistical analysis
Step-by-step worked examples help readers recognize when methods are suitable and when not
Updated coverage of cluster analysis, time series, seasonality, and resampling techniques
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Report copyright infringement by John H. Maindonald (Author), W. John Braun (Author), Jeffrey L. Andrews (Author) 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 Analy