A Handbook of Statistical Analyses Using R

出版者:Chapman & Hall/CRC

作者:Brian S. Everitt

页数:304

出版时间:2006-02-17

价格:USD 52.95

装帧:Paperback

isbn号码:9781584885399

图书标签:R统计学统计数学Statistics编程R.programmer

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• Explains systematically how to use R to perform a wide variety of statistical analyses

• Emphasizes practical application and interpretation of results rather than focusing on the theory behind the analyses

• Offers an introduction to R, including a summary of the most important features

• Covers simple inference, generalized linear models, multilevel models, longitudinal data, classification and regression trees, discriminant analysis, and much more

• Includes abundant figures and exercises to demonstrate the capabilities of R and reinforce the methods presented

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.

用户评价

框架很清晰，连统计带R一起，有新有旧，学习起来很高效哒~(*^__^*)

看的很不习惯，和国内教材中描述统计、推断统计的写法完全不同。 书中章节有均值比较、方差分析、回归聚类等常规内容，也有密度估计、生存分析等内容。

框架很清晰，连统计带R一起，有新有旧，学习起来很高效哒~(*^__^*)

框架很清晰，连统计带R一起，有新有旧，学习起来很高效哒~(*^__^*)

框架很清晰，连统计带R一起，有新有旧，学习起来很高效哒~(*^__^*)