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Covers a wide range of advanced statistical methods including robust regression, nonlinear models, and generalized linear models for behavioral science research
Includes step-by-step R code examples for each analysis, enabling readers to perform calculations and interpret results themselves
Bridges the gap between computer science and research application, making advanced statistical techniques accessible to those without programming background
Foundational linear algebra section ensures readers have the necessary mathematical background to understand the material
Concludes each chapter with pointers to R packages for similar analyses and nonstandard cases, enhancing practical application
Summarized by Shop
This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many r