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]