Name of the dependent variable, for which the mean value, grouped
by <code>grp</code>, is computed.

Factor with the cross-classifying variable, where <code>dv</code> is
grouped into the categories represented by <code>grp</code>. Numeric vectors
are coerced to factors.

Indicates how the null distribution of the test statistic should be computed.
May be one of <code>"exact"</code>, <code>"approximate"</code> or <code>"asymptotic"</code>
(default). See <code><a rd-options="coin" href="/link/wilcox_test?package=sjstats&version=0.14.3&to=coin" data-mini-rdoc="coin::wilcox_test">wilcox_test</a></code> for details.

distribution

Name of variable in <code>x</code> that indicated the vector of
weights that will be applied to weight all observations. Default is
<code>NULL</code>, so no weights are used.

weight.by

Character vector, indicating whether the results should be printed
to console (<code>out = "txt"</code>) or as HTML-table in the viewer-pane
(<code>out = "viewer"</code>) or browser (<code>out = "browser"</code>).

This function performs a Mann-Whitney-U-Test (or Wilcoxon rank sum test,
 see <code><a rd-options="" href="/link/wilcox.test?package=sjstats&version=0.14.3" data-mini-rdoc="sjstats::wilcox.test">wilcox.test</a></code> and <code><a rd-options="coin" href="/link/wilcox_test?package=sjstats&version=0.14.3&to=coin" data-mini-rdoc="coin::wilcox_test">wilcox_test</a></code>)
 for <code>x</code>, for each group indicated by <code>grp</code>. If <code>grp</code>
 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.

Collection of convenient functions for common statistical computations,
which are not directly provided by R's base or stats packages.
This package aims at providing, first, shortcuts for statistical
measures, which otherwise could only be calculated with additional
effort (like standard errors or root mean squared errors). Second,
these shortcut functions are generic (if appropriate), and can be
applied not only to vectors, but also to other objects as well
(e.g., the Coefficient of Variation can be computed for vectors,
linear models, or linear mixed models; the r2()-function returns
the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects).
The focus of most functions lies on summary statistics or fit
measures for regression models, including generalized linear
models and mixed effects models. However, some of the functions
also deal with other statistical measures, like Cronbach's Alpha,
Cramer's V, Phi etc.

Daniel Lüdecke

sjstats

Collection of Convenient Functions for Common Statistical
Computations

mwu function

Indicates how the null distribution of the test statistic should be computed.
May be one of <code>"exact"</code>, <code>"approximate"</code> or <code>"asymptotic"</code>
(default). See <code><a rd-options='coin' href='wilcox_test'>wilcox_test</a></code> for details.

This function performs a Mann-Whitney-U-Test (or Wilcoxon rank sum test,
 see <code><a rd-options='' href='wilcox.test'>wilcox.test</a></code> and <code><a rd-options='coin' href='wilcox_test'>wilcox_test</a></code>)
 for <code>x</code>, for each group indicated by <code>grp</code>. If <code>grp</code>
 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: Mann-Whitney-U-Test

Description

Usage

Arguments

Value

Examples