TY  - GEN
AU  - Randall E.Schumacker
TI  - Using R With Multivariate Statistics
SN  - 9781483377964
U1  - 519.5350285 SCH 
PY  - 2016///
CY  - New Delhi
PB  - Sage
N1  - 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
N2  - 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

ER  -