homecare

<p>Occupation and home care eligibility for 383
  patients medically elgibile for home care.</p>

datasets

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.

Alexis Dinno

dunn.test

Dunn's Test of Multiple Comparisons Using Rank Sums

homecare function

<p>A data frame containing two variables, <code>occupation</code> and <code>eligibility</code>, over 383 observations.</p>

homecare: Occupation and Home Care Eligibility

Description

Usage

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Format

References