Bootstrap version of the heteroscedastic one-way ANOVA for trimmed means.
Test the hypothesis of equal trimmed means using a percentile t bootstrap method. Corresponding post hoc tests are provided in mcppb20
.
t1waybt(formula, data, tr = 0.2, nboot = 599, ...) mcppb20(formula, data, tr = 0.2, nboot = 599, ...)
formula
: an object of class formula.data
: an optional data frame for the input data.tr
: trim level for the mean.nboot
: number of bootstrap samples....
: currently ignored.Returns an object of class t1waybt
containing:
test: value of the test statistic
p.value: p-value
Var.Explained: explained amount of variance
Effect.Size: effect size
nboot.eff: effective number of bootstrap samples
call: function call
mcppb20
returns an object of class "mcp1"
containing:
comp: inference for all pairwise comparisons
fnames: names of the factor levels
Wilcox, R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Elsevier.
t1way
,med1way
t1waybt(libido ~ dose, data = viagra) ## post hoc mcppb20(libido ~ dose, data = viagra)