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