Hypothesis tests for multivariate linear models using the car package

R Journal

Volumn 5, Issue 1, 2013, Pages 39-52

  Fox, John ^a   Friendly, Michael ^b   Weisberg, Sanford ^c  

^a MCMASTER UNIVERSITY   (Canada)

^b YORK UNIVERSITY   (Canada)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84883257015     PISSN: None     EISSN: 20734859     Source Type: Journal    
DOI: 10.32614/rj-2013-004     Document Type: Article

References (21)

1. E. Anderson. The irises of the Gaspé Peninsula. Bulletin of the American Iris Society, 59:2-5, 1935. [p41]
2. D. Bates, M. Maechler, and B. Bolker. lme4: Linear Mixed-Effects Models using S4 Classes, 2012. R package version 0.999999-0. [p41]
3. P. Dalgaard. New functions for multivariate analysis. R News, 7(2):2-7, 2007. [p40, 46]
4. R. A. Fisher. The use of multiple measurements in taxonomic problems. The Annals of Eugenics, 7, Part II:179-188, 1936. [p41]
5. J. Fox. Applied Regression Analysis and Generalized Linear Models. Sage, Thousand Oaks, CA, second edition, 2008. [p39, 48]
6. J. Fox and S. Weisberg. An R Companion to Applied Regression. Sage, Thousand Oaks, CA, second edition, 2011. [p40, 41, 48]
7. J. Fox, M. Friendly, and G. Monette. Visualizing hypothesis tests in multivariate linear models: The heplots package for R. Computational Statistics, 24:233-246, 2009. [p43, 44]
8. M. Friendly. HE plots for multivariate linear models. Journal of Computational and Graphical Statistics, 16:421-444, 2007. [p43, 44]
9. M. Friendly. HE plots for repeated measures designs. Journal of Statistical Software, 37(4):1-40, 2010. [p43, 44]
10. S. W. Greenhouse and S. Geisser. On methods in the analysis of profile data. Psychometrika, 24:95-112, 1959. [p49]
11. D. J. Hand and C. C. Taylor. Multivariate Analysis of Variance and Repeated Measures: A Practical Approach for Behavioural Scientists. Chapman and Hall, London, 1987. [p39, 40]
12. H. Huynh and L. S. Feldt. Estimation of the Box correction for degrees of freedom from sample data in randomized block and split-plot designs. Journal of Educational Statistics, 1:69-82, 1976. [p49]
13. T. Lumley. Analysis of complex survey samples. Journal of Statistical Software, 9(1):1-19, 2004. [p41]
14. J. W. Mauchly. Significance test for sphericity of a normal n-variate distribution. The Annals of Mathematical Statistics, 11:204-209, 1940. [p49]
15. D. F. Morrison. Multivariate Statistical Methods. Duxbury, Belmont CA, fourth edition, 2005. [p39]
16. R. G. O'Brien and M. K. Kaiser. MANOVA method for analyzing repeated measures designs: An extensive primer. Psychological Bulletin, 97:316-333, 1985. [p39, 40, 46, 48]
17. J. Pinheiro, D. Bates, S. DebRoy, D. Sarkar, and R Core Team. nlme: Linear and Nonlinear Mixed Effects Models, 2012. R package version 3.1-105. [p41]
18. C. R. Rao. Linear Statistical Inference and Its Applications. Wiley, New York, second edition, 1973. [p39, 40]
19. T. Therneau. A Package for Survival Analysis in S, 2012. R package version 2.36-14. [p41]
20. W. N. Venables and B. D. Ripley. Modern Applied Statistics with S. Springer, New York, fourth edition, 2002. [p41]
21. B. J.Winer. Statistical Principles in Experimental Design. McGraw-Hill, New York, second edition, 1971. [p39, 48]