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. |
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.
t1waybt(libido ~ dose, data = viagra) ## post hoc mcppb20(libido ~ dose, data = viagra)
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