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dunn.test  

Dunn's Test of Multiple Comparisons Using Rank Sums
View on CRAN: Click here


Download and install dunn.test package within the R console
Install from CRAN:
install.packages("dunn.test")

Install from Github:
library("remotes")
install_github("cran/dunn.test")

Install by package version:
library("remotes")
install_version("dunn.test", "1.3.6")



Attach the package and use:
library("dunn.test")
Maintained by
Alexis Dinno
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-25
Latest Update: 2017-10-27
Description:
Computes Dunn's test (1964) for stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis test for 0th-order stochastic dominance among k groups (Kruskal and Wallis, 1952). '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 and for mean difference. 'dunn.test' accounts for tied ranks.
How to cite:
Alexis Dinno (2014). dunn.test: Dunn's Test of Multiple Comparisons Using Rank Sums. R package version 1.3.6, https://cran.r-project.org/web/packages/dunn.test
Previous versions and publish date:
1.1.0 (2014-08-25 01:00), 1.2.0 (2014-09-10 07:04), 1.2.1 (2014-12-10 22:58), 1.2.2 (2015-01-03 08:51), 1.2.3 (2015-02-25 08:12), 1.2.4 (2015-04-29 01:50), 1.3.0 (2015-09-25 00:30), 1.3.1 (2015-10-08 20:13), 1.3.2 (2016-01-06 23:13), 1.3.3 (2017-02-09 07:01), 1.3.4 (2017-04-02 22:51), 1.3.5 (2017-10-27 17:41)
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Some associated functions: dunn.test . homecare . 
Some associated R codes: dunn.test.R .  Full dunn.test package functions and examples
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