Computational statistics an introduction to R

Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of s...

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Detalles Bibliográficos
Otros Autores: Sawitzki, Gunther., author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press 2009.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629752906719
Descripción
Sumario:Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and computing. This introduction covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis. It uses a range of examples to demonstrate how R can be employed to tackle statistical problems. In addition, the handy appendix includes a collection of R language elements and functions, serving as a quick reference and starting point to access the rich information that comes bundled with R. Accessible to a broad audience, this book explores key topics in data analysis, regression, statistical distributions, and multivariate statistics. Full of examples and with a color insert, it helps readers become familiar with R.
Notas:A Chapman and Hall book.
Descripción Física:1 online resource (xiv, 251 p., [8] p. of plates ) ill. (some col.)
Bibliografía:Includes bibliographical references and indexes.
ISBN:9781040069080
9780429146275
9781420086812