Cambridge University Press eBooks· 2021· Book chapter
Numerical optimization
- 14,181citations
- 2021year
Short summary
This third edition of Braun and Murdoch's bestselling textbook introduces R programming for data analysis, with expanded coverage of tidyverse packages (ggplot2, R Markdown) and new simulation algorithms (Box–Muller, Metropolis–Hastings).
AI-generated from the title and abstract; the full text is not read.
Key points
- Introduces R programming for data analysis with a focus on portable skills.
- Expands coverage of tidyverse packages, including ggplot2 and R Markdown.
- New simulation chapter includes Box–Muller and Metropolis–Hastings algorithms.
- Provides real R code, hundreds of exercises, and downloadable datasets/solutions.
AI-generated from the title and abstract; the full text is not read.
Abstract
This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data science.
The authors' abstract, as published at the source. Cambridge University Press eBooks, 2021 · DOI ↗
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Field: Artificial Intelligence
Artificial IntelligenceComputer Science