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sjPlot (version 1.7)

mwu: Performs a Mann-Whitney-U-Test

Description

This function performs a Mann-Whitney-U-Test (or Wilcoxon rank sum test, see wilcox.test and wilcox_test (coin-package)) for the variable var, which is divided into groups indicated by grp (so the formula var ~ grp is used). If grp has more than two categories, a comparison between each two groups is performed. The function reports U, p and Z-values as well as effect size r and group-rank-means.

Usage

mwu(var, grp, distribution = "asymptotic", weights = NULL)

Arguments

Value

(Invisibly) returns a data frame with U, p and Z-values for each group-comparison as well as effect-size r.

See Also

chisq_gof, levene_test, wilcox.test, ks.test, kruskal.test, t.test, chisq.test and fisher.test

Examples

Run this code
data(efc)
# Mann-Whitney-U-Tests for elder's age by elder's dependency.
mwu(efc$e17age, efc$e42dep)

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