Using R With Multivariate Statistics by Randall E. Schumacker
Publication details: Sage New Delhi 2016Description: xxi, 383 pages; Illustrations: 25 cmISBN:- 9781483377964
- 519.5350285 SCH
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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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 |
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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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