Performs Dunn's test for pairwise multiple comparisons of the ranked data. The mean rank of the different groups is compared. Used for post-hoc test following Kruskal-Wallis test.
dunn_test(data, formula, p.adjust.method = "holm")a data.frame containing the variables in the formula.
a formula of the form x ~ group where x is a
numeric variable giving the data values and group is a factor with
one or multiple levels giving the corresponding groups. For example,
formula = TP53 ~ cancer_group.
method to adjust p values for multiple comparisons. Used when pairwise comparisons are performed. Allowed values include "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none". If you don't want to adjust the p value (not recommended), use p.adjust.method = "none".
return a data frame with some of the following columns:
.y.: the y (outcome) variable used in the test.
group1,group2: the compared groups in the pairwise tests.
statistic: Test statistic (z-value) used to compute the p-value.
p: p-value.
p.adj: the adjusted p-value.
method: the statistical test used to compare groups.
p.signif, p.adj.signif: the significance level of p-values and
adjusted p-values, respectively.
The returned object has an attribute called args, which is a list holding the test arguments.
Dunn, O. J. (1964) Multiple comparisons using rank sums Technometrics, 6(3):241-252.
# NOT RUN {
ToothGrowth %>% dunn_test(len ~ dose)
# }
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