mann_whitney

A nonparametric equivalent of the independent t-test

A collection of functions for analyzing data typically collected
or used by behavioral scientists. Examples of the functions include
a function that compares groups in a factorial experimental design,
a function that conducts two-way analysis of variance (ANOVA),
and a function that cleans a data set generated by Qualtrics surveys.
Some of the functions will require installing additional package(s).
Such packages and other references are cited within the section
describing the relevant functions. Many functions in this package
rely heavily on these two popular R packages:
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.

Jin Kim

A Toolkit for Behavioral Scientists

mann_whitney function

<dl><dt>data</dt>
<dd>a data object (a data frame or a data.table)</dd>
<dt>iv_name</dt>
<dd>name of the independent variable (grouping variable)</dd>
<dt>dv_name</dt>
<dd>name of the dependent variable (measure variable
of interest)</dd>
<dt>iv_level_order</dt>
<dd>order of levels in the independent
variable. By default, it will be set as levels of the
independent variable ordered using R's base function <code>sort</code>.</dd>
<dt>sigfigs</dt>
<dd>number of significant digits to round to</dd></dl>

Arguments

Mann-Whitney U Test (Also called Wilcoxon Rank-Sum Test) — mann_whitney

<dl>

<dt>data</dt>
<dd>a data object (a data frame or a data.table)</dd>


<dt>iv_name</dt>
<dd>name of the independent variable (grouping variable)</dd>


<dt>dv_name</dt>
<dd>name of the dependent variable (measure variable
of interest)</dd>


<dt>iv_level_order</dt>
<dd>order of levels in the independent
variable. By default, it will be set as levels of the
independent variable ordered using R's base function <code>sort</code>.</dd>


<dt>sigfigs</dt>
<dd>number of significant digits to round to</dd>

</dl>

mann_whitney: Mann-Whitney U Test (Also called Wilcoxon Rank-Sum Test)

Description

Usage

Value

Arguments

Examples