WRS2 (version 1.1-6)

t1way: A heteroscedastic one-way ANOVA for trimmed means.

Description

The t1way function computes a one-way ANOVA on trimmed means. Homoscedasticity assumption not required. It uses a generalization of Welch's method. Corresponding post hoc tests can be performed using lincon.

Usage

t1way(formula, data, tr = 0.2, alpha = 0.05, nboot = 100, ...)
lincon(formula, data, tr = 0.2, alpha = 0.05, method = "hochberg", ...)

Value

t1way returns an object of class "t1way" containing:

test

value of the test statistic (F-statistic)

df1

degrees of freedom

df2

degrees of freedom

p.value

p-value

effsize

explanatory measure of effect size

effsize_ci

boostrap effect size CI

call

function call

lincon returns an object of class "mcp1" containing:

comp

inference for all pairwise comparisons

fnames

names of the factor levels

linconv2 returns an object of class "linconv2" containing:

Arguments

formula

an object of class formula.

data

an optional data frame for the input data.

tr

trim level for the mean.

alpha

alpha level for CI computation.

nboot

number of bootstrap samples for effect size CI computation.

method

method to correct the p-value (see p.adjust)

...

currently ignored.

Details

In the post hoc computations, confidence intervals and p-values are adjusted to control FWE. The default for the p-values is to use Hochberg's 1988 sharper Bonferroni procedure.

References

Wilcox, R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Elsevier.

See Also

med1way,t1waybt

Examples

set.seed(123)
t1way(libido ~ dose, data = viagra)

## post hoc tests
lincon(libido ~ dose, data = viagra)