DSCFTest {Analitica}R Documentation

Dwass-Steel-Critchlow-Fligner (DSCF) Test (Non-Parametric)

Description

Robust non-parametric method for multiple comparisons after Kruskal-Wallis. Uses rank-based pairwise tests with a pooled variance estimate.

Usage

DSCFTest(formula, data, alpha = 0.05, method.p = "holm")

Arguments

formula

A formula of the form y ~ group.

data

A data frame containing the variables.

alpha

Significance level (default is 0.05).

method.p

Method for p-value adjustment (default is "holm").

Details

Advantages: - Strong control of Type I error with unequal sample sizes. - More powerful than Dunn in many conditions.

Disadvantages: - Computationally more complex. - Less commonly available in standard software.

Value

An object of class "dscf" and "comparaciones", including:

References

Dwass, M. (1960). Some k-sample rank-order tests. In I. Olkin et al. (Eds.), Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling (pp. 198–202). Stanford University Press.

Examples

data(d_e, package = "Analitica")
DSCFTest(Sueldo_actual ~ labor, data = d_e)



[Package Analitica version 1.8.5 Index]