Using R with multivariate statistics. ([2016])
- Record Type:
- Book
- Title:
- Using R with multivariate statistics. ([2016])
- Main Title:
- Using R with multivariate statistics
- Further Information:
- Note: Randall E. Schumacker.
- Authors:
- Schumacker, Randall E
- Contents:
- Multivariate Analysis of Variance; MANOVA Assumptions; MANOVA Example: One-Way Design; MANOVA Example: Factorial Design; Effect Size; Reporting and Interpreting; Summary; Exercises; Web Resources; References; 5. Multivariate Analysis of Covariance; Assumptions; Multivariate Analysis of Covariance; Reporting and Interpreting; Propensity Score Matching; Summary; Web Resources; References; 6. Multivariate Repeated Measures; Assumptions; Advantages of Repeated Measure Design; Multivariate Repeated Measure Examples; Reporting and Interpreting Results; Summary; Exercises; Web Resources; References; 7. Discriminant Analysis; Overview; Assumptions; Dichotomous Dependent Variable; Polytomous Dependent Variable; Effect Size; Reporting and Interpreting; Summary; Exercises; Web Resources; References; 8. Canonical Correlation; Overview; Assumptions; R Packages; Canonical Correlation Example; Effect Size; Reporting and Interpreting; Summary; Exercises; Web Resources; References; 9. Exploratory Factor Analysis; Overview; Types of Factor Analysis; Assumptions; Factor Analysis Versus Principal Components Analysis; EFA Example; Reporting and Interpreting; Summary; Exercises; Web Resources; References; Appendix: Attitudes Toward Educational Research Scale; 10. Principal Components Analysis; Overview; Assumptions; Basics of Principal Components Analysis; Principal Component Example; Reporting and Interpreting; Summary; Exercises; Web Resources; References; 11. Multidimensional Scaling;Multivariate Analysis of Variance; MANOVA Assumptions; MANOVA Example: One-Way Design; MANOVA Example: Factorial Design; Effect Size; Reporting and Interpreting; Summary; Exercises; Web Resources; References; 5. Multivariate Analysis of Covariance; Assumptions; Multivariate Analysis of Covariance; Reporting and Interpreting; Propensity Score Matching; Summary; Web Resources; References; 6. Multivariate Repeated Measures; Assumptions; Advantages of Repeated Measure Design; Multivariate Repeated Measure Examples; Reporting and Interpreting Results; Summary; Exercises; Web Resources; References; 7. Discriminant Analysis; Overview; Assumptions; Dichotomous Dependent Variable; Polytomous Dependent Variable; Effect Size; Reporting and Interpreting; Summary; Exercises; Web Resources; References; 8. Canonical Correlation; Overview; Assumptions; R Packages; Canonical Correlation Example; Effect Size; Reporting and Interpreting; Summary; Exercises; Web Resources; References; 9. Exploratory Factor Analysis; Overview; Types of Factor Analysis; Assumptions; Factor Analysis Versus Principal Components Analysis; EFA Example; Reporting and Interpreting; Summary; Exercises; Web Resources; References; Appendix: Attitudes Toward Educational Research Scale; 10. Principal Components Analysis; Overview; Assumptions; Basics of Principal Components Analysis; Principal Component Example; Reporting and Interpreting; Summary; Exercises; Web Resources; References; 11. Multidimensional Scaling; Overview; Assumptions; R Packages; Goodness-of-Fit Index; MDS Metric Example; MDS Nonmetric Example; Reporting and Interpreting Results; Summary; Exercises; Web Resources; References; 12. Structural Equation Modeling; Overview; Assumptions; Equal Variance-Covariance Matrices; Correlation Versus Covariance Matrix; R Packages; CFA Models; Structural Equation Models; Reporting and Interpreting Results; Summary; Exercises; Web Resources; References; Statistical Tables; Table 1: Areas Under the Normal Curve (z Scores); Table 2: Distribution of t for Given Probability Levels; Table 3: Distribution of r for Given Probability Levels; Table 4: Distribution of Chi-Square for Given Probability Levels; Table 5: The F Distribution for Given Probability Levels (.05 Level); Table 6: The Distribution of F for Given Probability Levels (.01 Level); Table 7: Distribution of Hartley F for Given Probability Levels; Chapter Answers; R Installation and Usage; R Packages, Functions, Data Sets, and Script Files; Index. … (more)
- Publisher Details:
- Los Angeles : SAGE
- Publication Date:
- 2016
- Extent:
- 1 online resource
- Subjects:
- 519.53502855133
Multivariate analysis -- Data processing
R (Computer program language)
Statistics -- Data processing
Analyse multivariée -- Informatique
R (Langage de programmation)
Statistique -- Informatique
Multivariate analysis -- Data processing
R (Computer program language)
Statistics -- Data processing - Languages:
- English
- ISBNs:
- 9781483377988
1483377989 - Related ISBNs:
- 9781483377964
- Notes:
- Note: Includes bibliographical references and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.738483
- Ingest File:
- 15_017.xml