R package containing datasets and code examples for the book 'Statistical Analysis of Network Data with R, 2nd Edition'.
sand is an R package that serves as a companion to the book 'Statistical Analysis of Network Data with R, 2nd Edition'. It provides all datasets and code examples from the book, enabling readers to practice network data analysis techniques using R and the igraph package. The package facilitates hands-on learning and reproducible research in network science.
Data scientists, statisticians, and researchers learning network analysis with R, particularly those using the associated textbook as an educational resource.
Developers choose sand because it offers a complete, executable companion to a leading textbook on network analysis, ensuring code examples work with current igraph versions and providing ready-to-use datasets for practice.
Statistical Analysis of Network Data with R, 2nd Edition
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Includes all network datasets referenced in the book, enabling hands-on practice without additional data collection, as stated in the README.
Code chunks from each chapter are provided and can be run interactively in R, facilitating reproducible learning directly from the textbook examples.
Reflects recent changes in the igraph package, ensuring compatibility and leveraging its extensive network analysis capabilities for modern use.
Available directly from CRAN or GitHub, allowing quick setup with standard R commands like install.packages('sand') or devtools::install_github.
Primarily useful only with the accompanying textbook; the code and datasets lack standalone documentation, making independent use challenging without the book's context.
Covers only topics from the book's second edition, missing advanced or niche network analysis methods not included, such as recent machine learning integrations.
With an archived version for the first edition, updates may not be backward compatible, requiring users to adapt code when switching between editions.