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.

Version:	1.3.5
Published:	2017-10-27
Author:	Alexis Dinno
Maintainer:	Alexis Dinno <alexis.dinno at pdx.edu>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	dunn.test results

Documentation:

Reference manual:

dunn.test.pdf

Downloads:

Package source:	dunn.test_1.3.5.tar.gz
Windows binaries:	r-devel: dunn.test_1.3.5.zip, r-release: dunn.test_1.3.5.zip, r-oldrel: dunn.test_1.3.5.zip
macOS binaries:	r-release (arm64): dunn.test_1.3.5.tgz, r-oldrel (arm64): dunn.test_1.3.5.tgz, r-release (x86_64): dunn.test_1.3.5.tgz, r-oldrel (x86_64): dunn.test_1.3.5.tgz
Old sources:	dunn.test archive

Reverse dependencies:

Reverse imports:

AgroR, FSA, MultBiplotR, multiclassPairs, RTNsurvival, visxhclust

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