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An R and S-PLUS Companion to Multivariate Analysis

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Author :
Release : 2007
Genre : Mathematical statistics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis An R and S-PLUS Companion to Multivariate Analysis by : Brian Everitt

Download or read book An R and S-PLUS Companion to Multivariate Analysis written by Brian Everitt. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt:

An R and S-Plus® Companion to Multivariate Analysis

Download An R and S-Plus® Companion to Multivariate Analysis PDF Online Free

Author :
Release : 2006-03-30
Genre : Mathematics
Kind : eBook
Book Rating : 245/5 ( reviews)

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Book Synopsis An R and S-Plus® Companion to Multivariate Analysis by : Brian S. Everitt

Download or read book An R and S-Plus® Companion to Multivariate Analysis written by Brian S. Everitt. This book was released on 2006-03-30. Available in PDF, EPUB and Kindle. Book excerpt: Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he’s got it right.

An R and S-Plus® Companion to Multivariate Analysis

Download An R and S-Plus® Companion to Multivariate Analysis PDF Online Free

Author :
Release : 2005-03-17
Genre : Computers
Kind : eBook
Book Rating : 822/5 ( reviews)

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Book Synopsis An R and S-Plus® Companion to Multivariate Analysis by : Brian Everitt

Download or read book An R and S-Plus® Companion to Multivariate Analysis written by Brian Everitt. This book was released on 2005-03-17. Available in PDF, EPUB and Kindle. Book excerpt: Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he’s got it right.

A Beginner's Guide to R

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Author :
Release : 2009-06-24
Genre : Computers
Kind : eBook
Book Rating : 370/5 ( reviews)

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Book Synopsis A Beginner's Guide to R by : Alain Zuur

Download or read book A Beginner's Guide to R written by Alain Zuur. This book was released on 2009-06-24. Available in PDF, EPUB and Kindle. Book excerpt: Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R.

An R and S-Plus Companion to Applied Regression

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Author :
Release : 2002-06-05
Genre : Mathematics
Kind : eBook
Book Rating : 803/5 ( reviews)

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Book Synopsis An R and S-Plus Companion to Applied Regression by : John Fox

Download or read book An R and S-Plus Companion to Applied Regression written by John Fox. This book was released on 2002-06-05. Available in PDF, EPUB and Kindle. Book excerpt: "This book fits right into a needed niche: rigorous enough to give full explanation of the power of the S language, yet accessible enough to assign to social science graduate students without fear of intimidation. It is a tremendous balance of applied statistical "firepower" and thoughtful explanation. It meets all of the important mechanical needs: each example is given in detail, code and data are freely available, and the nuances of models are given rather than just the bare essentials. It also meets some important theoretical needs: linear models, categorical data analysis, an introduction to applying GLMs, a discussion of model diagnostics, and useful instructions on writing customized functions. " —JEFF GILL, University of Florida, Gainesville

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