A heteroscedastic one-way ANOVA for trimmed means.
A heteroscedastic one-way ANOVA for trimmed means.
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.
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.
Returns
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:
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 testslincon(libido ~ dose, data = viagra)