: Este libro presenta descripciones directas y aut�nomas sobre c�mo realizar una variedad de an�lisis estad�sticos en el entorno R. Desde la inferencia simple hasta la partici�n recursiva y el an�lisis de conglomerados, los eminentes expertos Everitt y Hothorn lo gu�an met�dicamente a trav�s de los pasos, los comandos y la interpretaci�n de los resultados, abordando la teor�a y los antecedentes estad�sticos solo cuando es �til o necesario. Comienzan con una introducci�n a R, discutiendo la sintaxis, los operadores generales y la manipulaci�n b�sica de datos mientras resumen las caracter�sticas m�s importantes. Numerosas figuras resaltan las s�lidas capacidades gr�ficas de R y los ejercicios al final de cada cap�tulo refuerzan las t�cnicas y los conceptos presentados. Todos los conjuntos de datos y el c�digo utilizado en el libro est�n disponibles como un paquete descargable del archivo en l�nea CRAN de R. A Handbook of Statistical Analyses Using R es la gu�a perfecta tanto para los reci�n llegados como para los usuarios experimentados de R que desean una gu�a concreta paso a paso sobre c�mo utilizar el software de forma f�cil y eficaz para casi cualquier an�lisis estad�stico. EAN: 9781584885399 Tipo: Libros Categor�a: Ciencias T�tulo: A Handbook of Statistical Analyses Using R Autor: Brian S. Everitt| Torsten Hothorn Editorial: Chapman and Hall/CRC Idioma: en P�ginas: 304 Formato: tapa blanda.

N� de ref. del art�culo Happ-2023-09-20-6de8a705

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Detalles bibliogr�ficos

T�tulo: A Handbook of Statistical Analyses Using R
Editor: Chapman and Hall/CRC
Fecha de publicaci�n: 2006
Idioma: Ingl�s
ISBN 10: 1584885394
ISBN 13: 9781584885399
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: Como nuevo

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Sinopsis

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields. Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive. A Handbook of Statistical Analyses Using R is the perfect guide for newcomers as well as seasoned users of R who want concrete, step-by-step guidance on how to use the software easily and effectively for nearly any statistical analysis.

Rese�a del editor

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.

Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive.

A Handbook of Statistical Analyses Using R is the perfect guide for newcomers as well as seasoned users of R who want concrete, step-by-step guidance on how to use the software easily and effectively for nearly any statistical analysis.

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