A Handbook of Statistical Analyses Using R (Brian S. Everitt, et al.)

 
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A Handbook of Statistical Analyses Using R (Brian S. Everitt, et al.)

As with S-PLUS, STATA, SPSS, and SAS, Everitt's other Handbooks have done for R, Statistical Analysis Handbook Using R provides simple, comprehensive explanations of how to carry out a range of statistical analyses in the R environment.

Eminent professionals Everitt and Hothorn guide you carefully through the procedures, commands, and interpretation of the results, addressing theory and statistical background only when beneficial or necessary. They cover everything from basic inference through recursive partitioning and cluster analysis.

They start out by giving a brief overview of R, going through its syntax, general operators, and fundamental data manipulation techniques while summarising its most crucial features. R's powerful graphical skills are highlighted through numerous figures, and activities at the end of each chapter help to reinforce the approaches and ideas that have been introduced.

The CRAN, the R online archive, offers a downloadable package of all the data sets and code used in the book.

Statistical Analysis Handbook Using R is the ideal manual for both novice and experienced R users who want specific, step-by-step instructions on how to use the program easily and efficiently for almost any statistical analysis.

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