Using R With Multivariate Statistics by Randall E. Schumacker

By:

Randall E. Schumacker [Author]

Publication details: Sage New Delhi 2016Description: xxi, 383 pages; Illustrations: 25 cmISBN:

9781483377964

DDC classification:

519.5350285 SCH

Contents:

1. Introduction and Overview Background Persons of Interest Factors Affecting Statistics R Software Web Resources References 2. Multivariate Statistics: Issues and Assumptions Issues Assumptions SPSS Check Summary Web Resources References 3. Hotelling’s T2 : A Two-Group Multivariate Analysis Overview Assumptions Univariate Versus Multivariate Hypothesis Practical Examples Using R Power and Effect Size Reporting and Interpreting Summary Exercises Web Resources References 4. Multivariate Analysis of Variance MANOVA Assumptions MANOVA Example: One-Way Design MANOVA Example: Factorial Design Effect Size Reporting and Interpreting Summary Exercises

Abstract: 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.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam - Andhra University		519.5350285 SCH (Browse shelf(Opens below))	Available		001638
Book	Indian Institute of Management Visakhapatnam General Stacks	Non-fiction	519.5350285 SCH (Browse shelf(Opens below))	Available		001270

1. Introduction and Overview
Background

Persons of Interest

Factors Affecting Statistics

R Software

Web Resources

References

2. Multivariate Statistics: Issues and Assumptions
Issues

Assumptions

SPSS Check

Summary

Web Resources

References

3. Hotelling’s T2 : A Two-Group Multivariate Analysis
Overview

Assumptions

Univariate Versus Multivariate Hypothesis

Practical Examples Using R

Power and Effect Size

Reporting and Interpreting

Summary

Exercises

Web Resources

References

4. Multivariate Analysis of Variance
MANOVA Assumptions

MANOVA Example: One-Way Design

MANOVA Example: Factorial Design

Effect Size

Reporting and Interpreting

Summary

Exercises

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.

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