Written by the leading designer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides programming guidance for projects of all scales, and introduces new, valuable techniques that extend R. The book describes object-oriented programming in R as well as new and extended interfaces to other software. The interfaces, tools, and example packages are available on GitHub. A 2017 Choice Outstanding Academic Title
Written by the leading designer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides programming guidance for projects of all scales, and introduces new, valuable techniques that extend R. The book describes object-oriented programming in R as well as new and extended interfaces to other software. The interfaces, tools, and example packages are available on GitHub. A 2017 Choice Outstanding Academic TitleHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
John M. Chambers is a consulting professor in the Department of Statistics at Stanford University. He previously worked at Bell Labs for 40 years, where he contributed to major research and management in statistical computing and related fields. He was the first statistician to be named a Bell Labs Fellow. Chambers is best known for the creation and extension of the S software, the predecessor to today's very popular R. He has continued to contribute essential new directions to R. In 1999, he was honored with the ACM Software System Award, which noted that "S has forever altered the way people analyze, visualize, and manipulate data." He is a board member of the R Foundation and the R Consortium; a fellow of the ASA, the IMS, and the AAAS; and an elected member of the ISI. He is the author or co-author of nine books, including the first comprehensive book on computational methods for statistics.
Inhaltsangabe
Understanding R: Objects, Functions and Interfaces. Evolution. R in Operation. Programming with R: Small, Medium and Large. Functions. Objects. Packages. In the Large. Object-Oriented Programming: Classes and Methods in R. Functional OOP in R. Encapsulated OOP in R. Interfaces: Understanding Interfaces. The XR Structure for Interfaces. An Interface to Python. An Interface to Julia. Subroutine Interfaces. Bibliography. Index.
Understanding R: Objects, Functions and Interfaces. Evolution. R in Operation. Programming with R: Small, Medium and Large. Functions. Objects. Packages. In the Large. Object-Oriented Programming: Classes and Methods in R. Functional OOP in R. Encapsulated OOP in R. Interfaces: Understanding Interfaces. The XR Structure for Interfaces. An Interface to Python. An Interface to Julia. Subroutine Interfaces. Bibliography. Index.
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