355 numbered pages; names to edges of closed pages; very light wear to corners and edges of mostly purple cover; minor rub to cover; a few minor dings to cover; weighs 1 pound and 3 ounces; measures 9.2 by 6 by .8 inches; 042023; provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical background, along with appropriate references. N� de ref. del art�culo 19864

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Detalles bibliogr�ficos

T�tulo: A Handbook of Statistical Analyses Using R, ...

Editorial: Chapman and Hall/CRC

A�o de publicaci�n: 2010

Encuadernaci�n: Soft cover

Condici�n: Good

Edici�n: 2nd Edition

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Sinopsis:

Rare book

Cr�ticas:

I find the book by Everitt and Hothorn quite pleasant and bound to fit its purpose. The layout and presentation [are] nice. It should appeal to all readers as it contains a wealth of information about the use of R for statistical analysis. Included seasoned R users: When reading the first chapters, I found myself scribbling small lightbulbs in the margin to point out features of R I was not aware of. In addition, the book is quite handy for a crash introduction to statistics for (well-enough motivated) nonstatisticians.
―International Statistical Review (2011), 79

... an extensive selection of real data analyzed with [R] ... Viewed as a collection of worked examples, this book has much to recommend it. Each chapter addresses a specific technique. ... the examples provide a wide variety of partial analyses and the datasets cover a diversity of fields of study. ... This handbook is unusually free of the sort of errors spell checkers do not find. ...
―MAA Reviews, April 2011

Praise for the First Edition
...Brian Everitt has joined forces with a recognized expert who displays an impressive command of this powerful environment ... Much is to be learned in the small details that make this text interesting even for experienced users. ... Special attention is given to graphical methods ...
―Journal of Applied Statistics, May 2007

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. ... I highly recommend the text for anyone learning R and who want to use it for the sophisticated analysis of data.
―Joseph M. Hilbe, Journal of Statistical Software, Vol. 16, August 2006

...a useful, compact introduction.
―Biometrics, December 2006

... 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, ISI Short Book Reviews

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