R in action / data analysis and graphics with R : Robert I. Kabacoff.
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TextLanguage: 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 | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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General | 519.5 / K11r 2015 (Browse shelf(Opens below)) | Ej. 1 | Available | 7110001660 |
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| 519.5 / IN61 2021 An introduction to statistical learning : with Applications in R / | 519.5 / IN61i 2013 An introduction to statistical learning : with applications in R / | 519.5 / J24e 2019 Essentials of business statistics : communicating with numbers / | 519.5 / K11r 2015 R in action / Robert I. Kabacoff. | 519.5 / K11s 1986 Statistical analysis : an interdisciplinary introduction to univariate & multivariate methods / | 519.5 / K239e Estadística aplicada a administración y economía / | 519.5 / K239e Estadística aplicada a administración y economía / |
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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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