tukey.kruskal.test {MultNonParam}R Documentation

Tukey HSD procedure

Description

Rank-based method for controlling experiment-wise error. Assume normality of the distribution for the variable of interest.

Usage

tukey.kruskal.test(resp, grp, alpha = 0.05)

Arguments

resp

vector containing the values for the variable of interest.

grp

vector specifying in which group is each observation.

alpha

level of the test.

Details

The original Tuckey HSD procedure is supposed to be applied for equal sample sizes. However, the tukey.kruskal.test function performs the Tukey-Kramer procedure that works for unequal sample sizes.

Value

A logical vector for every combinaison of two groups. TRUE if the distribution in one group is significantly different from the distribution in the other group.

References

J.J. Higgins, (2004), Introduction to Modern Nonparametric Statistics, Brooks/Cole, Cengage Learning.


[Package MultNonParam version 1.3.9 Index]