Daniel H., Senior Lecturer, University of York) Baker
Research Methods Using R: Advanced Data Analysis in the Behavioural and Biological Sciences
Research Methods Using R: Advanced Data Analysis in the Behavioural and Biological Sciences
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Excellent- More about Research Methods Using R: Advanced Data Analysis in the Behavioural and Biological Sciences
Daniel H. Baker's book "Advanced Research Methods in R" is a comprehensive guide for undergraduates covering advanced research methods and their application in R. It begins with fundamental tools and leads to specialist content, including power analysis, meta-analysis, and machine learning methods. The book is written in a step-by-step way, with early chapters presenting the essentials and later chapters building up to more detailed implementations. It is accompanied by online resources such as practice questions, example code, and data files, making it an invaluable resource for students learning R.
Format: Paperback / softback
Length: 352 pages
Publication date: 21 March 2022
Publisher: Oxford University Press
Providing comprehensive coverage of advanced research methods for undergraduates, Daniel H. Baker empowers students to master more intricate research methodologies and effectively apply them in the realm of R. This brand-new title unites a diverse range of topics, catering to readers with a foundational understanding of statistics. It initiates with foundational tools such as nonlinear curve fitting, function optimization, stochastic methods, and Fourier (frequency) analysis, gradually progressing to specialized subjects like bivariate and multivariate statistics, Bayesian statistics, and machine learning methods. Several chapters also delve into practices that enhance research quality, including power analysis, meta-analysis, and reproducible data analysis. Crafted with a step-by-step approach, early chapters introduce the fundamentals, ensuring accessibility to those without prior programming experience. By providing hands-on demonstrations, students gradually grasp techniques, culminating in detailed implementations showcased through worked examples. Additionally, readers are offered opportunities to apply analysis techniques through practice questions and online multiple-choice quizzes, with instant feedback provided by the author. Furthermore, this book is readily available for students and institutions in various digital formats, accompanied by comprehensive online resources. The e-book offers a user-friendly mobile experience, convenient access, and enhanced functionality, navigation features, and interactive elements. These resources further support students in their journey of mastering advanced research methods and applying them in the realm of R, equipping them with the skills and knowledge needed for success in their academic and research endeavors.
Weight: 688g
Dimension: 191 x 245 x 22 (mm)
ISBN-13: 9780192896599
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