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.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Condición: Como nuevo. : Este libro presenta descripciones directas y autónomas sobre cómo realizar una variedad de análisis estadísticos en el entorno R. Desde la inferencia simple hasta la partición recursiva y el análisis de conglomerados, los eminentes expertos Everitt y Hothorn lo guían metódicamente a través de los pasos, los comandos y la interpretación de los resultados, abordando la teoría y los antecedentes estadísticos solo cuando es útil o necesario. Comienzan con una introducción a R, discutiendo la sintaxis, los operadores generales y la manipulación básica de datos mientras resumen las características más importantes. Numerosas figuras resaltan las sólidas capacidades gráficas de R y los ejercicios al final de cada capítulo refuerzan las técnicas y los conceptos presentados. Todos los conjuntos de datos y el código utilizado en el libro están disponibles como un paquete descargable del archivo en línea CRAN de R. A Handbook of Statistical Analyses Using R es la guía perfecta tanto para los recién llegados como para los usuarios experimentados de R que desean una guía concreta paso a paso sobre cómo utilizar el software de forma fácil y eficaz para casi cualquier análisis estadístico. EAN: 9781584885399 Tipo: Libros Categoría: Ciencias Título: A Handbook of Statistical Analyses Using R Autor: Brian S. Everitt| Torsten Hothorn Editorial: Chapman and Hall/CRC Idioma: en Páginas: 304 Formato: tapa blanda. Nº de ref. del artículo: Happ-2023-09-20-6de8a705
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