wilcoxon_rank_sum_test

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

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

Arguments

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

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

</dl>

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

Description

Usage

Value

Arguments

Examples