One-way ANOVA based on quantiles. Only known method to work well when tied values are likely to occur.
Qanova(formula, data, q =0.5, nboot =600,...)
Arguments
formula: an object of class formula.
data: an optional data frame for the input data.
q: quantile (or vector of quantiles) to be used.
nboot: number of bootstrap samples
...: currently ignored.
Details
Test global hypothesis that J independent groups have equal quantiles (default: median) using the Harrell-Davis estimator. Performs well when there are tied values.
Returns
Qanova an object of class "qanova" containing:
psihat: value of the test statistics
contrasts: contrasts
p.value: p-value
call: function call
References
Wilcox, R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Elsevier.