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Introductory statistics with R / Peter Dalgaard

Por: Dalgaard, PeterTipo de material: TextoTextoSeries Statistics and computingEditor: New York, : Distribuidor: Springer, Fecha de copyright: ©2008Fecha de copyright: 2010 ImpresiónEdición: 2ª ediciónDescripción: xvi, 363 páginas : ilustraciones, gráficas ; 24 x 15 cmTipo de contenido: texto Tipo de medio: sin medio Tipo de portador: volumenISBN: 9780387790534 (pbk. : alk. paper)Tema(s): R (lenguaje de programación) | R (Computer program language) | Statistics -- Data processing | Estadística -- Procesamiento de datos | Lenguaje para la programación de computadores | Procesamiento electrónico de datos | Taller de software para ingeniería -- II3472 -- 2018Clasificación LoC:QA 276 .45 .R3 | D14 2008
Contenidos:
Basics -- The R environment -- Probability and distributions -- Descriptive statistics and graphics -- One and two-sample tests -- Regression and correlation -- Analysis of variance and the Kruskal-Wallis test -- Tabular data -- Power and the computation of sample size -- Advanced data handling -- Multiple regression -- Linear models -- Logistic regression -- Survival analysis -- Rates and Poisson regression -- Nonlinear curve fitting -- Appendices: Obtaining and Installing R and the ISwR package -- Data sets in the ISwR package - Compendium -- Answers to exercises
Resumen: "R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets."--P. web editorial
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Libros para consulta en sala Libros para consulta en sala Biblioteca Antonio Enríquez Savignac - Universidad del Caribe
Biblioteca Antonio Enríquez Savignac - Universidad del Caribe
Colección reserva QA276.45.R3 D142in 2008 (Navegar estantería (Abre debajo)) 1 Reetiquetado Ingeniería en Datos e Inteligencia Organizacional 018281
Libros para consulta en sala Libros para consulta en sala Biblioteca Antonio Enríquez Savignac - Universidad del Caribe
Biblioteca Antonio Enríquez Savignac - Universidad del Caribe
Colección reserva QA 276 .45 .R3 D14 2008 (Navegar estantería (Abre debajo)) 2 No para préstamo Ingeniería en Datos e Inteligencia Organizacional 041227
Libros Libros Biblioteca Antonio Enríquez Savignac - Universidad del Caribe
Biblioteca Antonio Enríquez Savignac - Universidad del Caribe
Colección general QA 276 .45 .R3 D14 2008 (Navegar estantería (Abre debajo)) 3 Disponible Ingeniería en Datos e Inteligencia Organizacional 041228
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Incluye referencias bibliográficas p. [355]-356 e índice

Basics -- The R environment -- Probability and distributions -- Descriptive statistics and graphics -- One and two-sample tests -- Regression and correlation -- Analysis of variance and the Kruskal-Wallis test -- Tabular data -- Power and the computation of sample size -- Advanced data handling -- Multiple regression -- Linear models -- Logistic regression -- Survival analysis -- Rates and Poisson regression -- Nonlinear curve fitting -- Appendices: Obtaining and Installing R and the ISwR package -- Data sets in the ISwR package - Compendium -- Answers to exercises

"R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets."--P. web editorial

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