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Using R with multivariate statistics

By: Schumacker, Randall E.
Publisher: USA Sage Publications 2016Description: xxi, 383 p.ISBN: 9781483377964.Subject(s): Multivariate analysis - Data processing | R (Computer program language) | Statistics - Data processingDDC classification: 519.53502855133 Summary: Using R with Multivariate Statistics is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics. (http://www.sagepub.in/books/Book243861?siteId=sage-india&prodTypes=any&q=9781483377964&pageTitle=productsSearch)
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Non-fiction 519.53502855133 S2U8 (Browse shelf) Available 190351

Table of contents:

1. Introduction and Overview
2. Multivariate Statistics: Issues and Assumptions
3. Hotelling's T2: A Two-Group Multivariate Analysis
4. Multivariate Analysis of Variance
5. Multivariate Analysis of Covariance
6. Multivariate Repeated Measures
7. Discriminant Analysis
8. Canonical Correlation
9. Exploratory Factor Analysis
10. Principal Components Analysis
11. Multidimensional Scaling
12. Structural Equation Modeling

Using R with Multivariate Statistics is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.

(http://www.sagepub.in/books/Book243861?siteId=sage-india&prodTypes=any&q=9781483377964&pageTitle=productsSearch)

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