January 20, 2025 | Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani
The 'ISLR' package, released on January 20, 2025, provides datasets used in the book "An Introduction to Statistical Learning with Applications in R." Authored by Gareth James, Daniela Witten, Trevor Hastie, and Rob Tibshirani, the package includes various datasets such as Auto, Caravan, Carseats, College, Credit, Default, Hitters, Khan, NCI60, OJ, Portfolio, Smarket, Wage, and Weekly. Each dataset is described with details on its usage, format, source, and references. The package is designed to support statistical learning and machine learning applications in R, offering a comprehensive collection of real-world data for educational and practical purposes.The 'ISLR' package, released on January 20, 2025, provides datasets used in the book "An Introduction to Statistical Learning with Applications in R." Authored by Gareth James, Daniela Witten, Trevor Hastie, and Rob Tibshirani, the package includes various datasets such as Auto, Caravan, Carseats, College, Credit, Default, Hitters, Khan, NCI60, OJ, Portfolio, Smarket, Wage, and Weekly. Each dataset is described with details on its usage, format, source, and references. The package is designed to support statistical learning and machine learning applications in R, offering a comprehensive collection of real-world data for educational and practical purposes.