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R in action / data analysis and graphics with R : Robert I. Kabacoff.

By: Kabacoff, Robert [autor.]Material type: TextTextLanguage: English Publisher: Shelter Island : Manning, 2015Edition: Second editionDescription: xxviii, 579 páginas : ilustraciones, gráficos ; 24 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9781617291388 ; 1617291382Subject(s): R (Lenguaje de programación de computadores) | Estadistica | Análisis estadístico multivariable | Lenguajes de programación de dominio específico | Estadística -- Procesamiento de datos | Estadística matemáticaDDC classification: 519.5
Contents:
Part I Getting started-Introduction to R-Creating a dataset-Getting started with graphs-Basic data management-Advanced data management--Part II Basic methods-Basic graphs-Basic statistics--Part III Intermediate methods-Regression-Analysis of variance-Power analysis-Intermediate graphs-Re-sampling statistics and bootstrapping--Part IV Advanced methods-Generalized linear models-Principal components and factor analysis-Advanced methods for missing data-Advanced graphics.
Abstract: R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.
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Part I Getting started-Introduction to R-Creating a dataset-Getting started with graphs-Basic data management-Advanced data management--Part II Basic methods-Basic graphs-Basic statistics--Part III Intermediate methods-Regression-Analysis of variance-Power analysis-Intermediate graphs-Re-sampling statistics and bootstrapping--Part IV Advanced methods-Generalized linear models-Principal components and factor analysis-Advanced methods for missing data-Advanced graphics.

R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.

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