dunn.test: Dunn's Test of Multiple Comparisons Using Rank Sums

Computes Dunn's test (1964) for stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis 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(k-1)/2 multiple pairwise comparisons based on Dunn's z-test-statistic 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 Wilcoxon-Mann-Whitney rank-sum test. Like the rank-sum 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.

AuthorAlexis Dinno <alexis.dinno@pdx.edu>
Date of publication2017-02-09 07:01:57
MaintainerAlexis Dinno <alexis.dinno@pdx.edu>
LicenseGPL-2
Version1.3.3

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Functions

Dunn's test Man page
dunn.test Man page
homecare Man page
p.adjustment.methods Man page

Files

dunn.test
dunn.test/NAMESPACE
dunn.test/data
dunn.test/data/homecare.rda
dunn.test/R
dunn.test/R/dunn.test.R
dunn.test/MD5
dunn.test/DESCRIPTION
dunn.test/man
dunn.test/man/dunn.test.Rd dunn.test/man/homecare.Rd

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