Computes Dunn's test (1964) for stochastic dominance and reports the results among multiple pairwise comparisons after a KruskalWallis test for stochastic dominance among k groups (Kruskal and Wallis, 1952). The interpretation of stochastic dominance requires an assumption that the CDF of one group does not cross the CDF of the other. 'dunn.test' makes k(k1)/2 multiple pairwise comparisons based on Dunn's zteststatistic approximations to the actual rank statistics. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the WilcoxonMannWhitney ranksum test. Like the ranksum test, if the data can be assumed to be continuous, and the distributions are assumed identical except for a difference in location, Dunn's test may be understood as a test for median difference. 'dunn.test' accounts for tied ranks.
Package details 


Author  Alexis Dinno <[email protected]> 
Date of publication  20170402 20:51:09 UTC 
Maintainer  Alexis Dinno <[email protected]> 
License  GPL2 
Version  1.3.4 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.