This function performs a Mann-Whitney-U-Test (or Wilcoxon rank sum test,
see wilcox.test and wilcox_test)
for x, for each group indicated by grp. If grp
has more than two categories, a comparison between each combination of
two groups is performed.
The function reports U, p and Z-values as well as effect size r
and group-rank-means.
mwu(data, x, grp, distribution = "asymptotic", out = c("txt", "viewer",
"browser"), encoding = "UTF-8", file = NULL)A data frame.
Bare (unquoted) variable name, or a character vector with the variable name.
Bare (unquoted) name of the cross-classifying variable, where
x is grouped into the categories represented by grp,
or a character vector with the variable name.
Indicates how the null distribution of the test statistic should be computed.
May be one of "exact", "approximate" or "asymptotic"
(default). See wilcox_test for details.
Character vector, indicating whether the results should be printed
to console (out = "txt") or as HTML-table in the viewer-pane
(out = "viewer") or browser (out = "browser"), of if the
results should be plotted (out = "plot", only applies to certain
functions). May be abbreviated.
Character vector, indicating the charset encoding used
for variable and value labels. Default is "UTF-8". Only used
when out is not "txt".
Destination file, if the output should be saved as file.
Only used when out is not "txt".
(Invisibly) returns a data frame with U, p and Z-values for each group-comparison as well as effect-size r; additionally, group-labels and groups' n's are also included.
# NOT RUN {
data(efc)
# Mann-Whitney-U-Tests for elder's age by elder's dependency.
mwu(efc, e17age, e42dep)
# }
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