Statistical Computing in C++ and R /

With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writi...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Eubank, Randall (Author), Kupresanin, Ana (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: Electronic eBook
Language:Inglés
Published: Chapman and Hall/CRC, 2011.
Edition:1st edition.
Subjects:
Statistics > Data processing.
R (Computer program language)
C++ (Computer program language)
Statistique > Informatique.
R (Langage de programmation)
C++ (Langage de programmation)
Statistics > Data processing
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Front Cover; Dedication; Preface; Contents; List of Algorithms; 1. Introduction; 2. Computer representation of numbers; 3. A sketch of C++; 4. Generation of pseudo-random numbers; 5. Programming in R; 6. Creating classes and methods in R; 7. Numerical linear algebra; 8. Numerical optimization; 9. Abstract data structures; 10. Data structures in C++; 11. Parallel computing in C++ and R; A. An introduction to Unix; B. An introduction to R; C. C++ library extensions (TR1); D. The Matrix and Vector classes; E. The ranGen class; References

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