This function computes a two-way ANOVA medians with interactions effects.
med2way(formula, data,...)
Arguments
formula: an object of class formula.
data: an optional data frame for the input data.
...: currently ignored.
Details
There should not be too many ties in the data. The test statistics for the main effects in med2way are F-distributed, the (heteroscedastic) test for the interaction is chi-square distributed. Post hoc tests can be performed using mcp2a.
Returns
Returns an object of class t2way containing:
Qa: first main effect
A.p.value: p-value first main effect
Qb: second main effect
B.p.value: p-value second main effect
Qab: interaction effect
AB.p.value: p-value interaction effect
call: function call
varnames: variable names
dim: design dimensions
References
Wilcox, R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Elsevier.
See Also
t2way, med1way
Examples
med2way(attractiveness ~ gender*alcohol, data = goggles)mcp2a(attractiveness ~ gender*alcohol, data = goggles, est ="median")