The Friedman test is a non-parametric within-subject ANOVA. It's useful when parametric assumptions cannot be made. Usage is identical to correlatedAnova().
References: "Concepts and Applications of Inferrential Statistics". Richard Lowry. Vassar College. version. http://faculty.vassar.edu/lowry/webtext.html
No exact P-value calculation. Asymptotic approx. only.
See Implementation
The Friedman test is a non-parametric within-subject ANOVA. It's useful when parametric assumptions cannot be made. Usage is identical to correlatedAnova().
References: "Concepts and Applications of Inferrential Statistics". Richard Lowry. Vassar College. version. http://faculty.vassar.edu/lowry/webtext.html