HolmTest {Analitica}R Documentation

Holm-Adjusted Pairwise Comparisons

Description

Performs pairwise t-tests with p-values adjusted using Holm’s sequential method.

Usage

HolmTest(modelo, alpha = 0.05)

Arguments

modelo

An object of class aov or lm.

alpha

Significance level (default is 0.05).

Details

Advantages: - Controls family-wise error rate more efficiently than Bonferroni. - Easy to apply over any set of p-values.

Disadvantages: - Does not adjust test statistics, only p-values. - Slightly more conservative than false discovery rate (FDR) methods.

Value

An object of class "holm" and "comparaciones", containing:

References

Holm, S. (1979). A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2), 65–70.

Examples

data(d_e, package = "Analitica")
mod <- aov(Sueldo_actual ~ as.factor(labor), data = d_e)
resultado <- HolmTest(mod)
summary(resultado)
plot(resultado)



[Package Analitica version 1.8.5 Index]