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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Useful examples are presented to assist understanding. ...Everitt and Hothorn have written an excellent tutorial on using R to analyze data using a wide range of standard statistical methods. They use numerous examples throughout the text, present 100 figures, and show 54 tables to augment discussion. All this is done in a book of only 275 pages in length. I highly recommend the text for anyone learning R, and who want to use it for the sophisticated analysis of data.
-Joseph M. Hilbe, Emeritus Professor, University of Hawaii and Adjunct Professor, Sociology and Statistics, Arizona State University, Journal of Statistical Software, Vol. 16, August 2006
...The book is clearly meant to help a true beginner get started with the R package. It begins appropriately with a chapter presenting a description of R and installation instructions, the help (simple help) and vignette (detailed help) commands, and other available documentation. This chapter also discusses basic data handling techniques and methods for summarizing data. The remainder of the book consists of 14 chapters, each of which describes a different type of analysis. ... The chapters are generally well laid out and easy to understand. The book covers ANOVA/MANOVA, several forms of regression, an assortment of multivariate analyses, and various other forms of statistical analysis. ... For the experienced analyst wanting to learn R, this book is a useful, compact introduction.
-Biometrics
... This book, using analyses of real sets of data, takes the reader through many of the standard forms of statistical methodology using R. ... a very valuable reference. ...The book is particularly good at highlighting the graphical capabilities of the language. ...
-P. Marriott (University of Waterloo, Canada), Short Book Reviews
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Condition: 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. Seller Inventory # Happ-2023-09-20-6de8a705
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