compare_groups

Compares groups by (1) creating histogram by group; (2) summarizing
descriptive statistics by group; and (3) conducting pairwise
comparisons (t-tests and Mann-Whitney tests).

Conduct numerous exploratory analyses in an instant with a
point-and-click interface. With one simple command, this tool
launches a Shiny App on the local machine. Drag and drop variables
in a data set to categorize them as possible independent,
dependent, moderating, or mediating variables. Then run dozens
(or hundreds) of analyses instantly to uncover any statistically
significant relationships among variables. Any relationship
thus uncovered should be tested in follow-up studies.
This tool is designed only to facilitate exploratory
analyses and should NEVER be used for p-hacking. Many of
the functions used in this package are previous versions of functions
in the R Packages 'kim' and 'ezr'.
Selected References:
Chang et al. (2021) <https://CRAN.R-project.org/package=shiny>.
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Kim (2023) <https://jinkim.science/docs/kim.pdf>.
Kim (2021) <doi:10.5281/zenodo.4619237>.
Kim (2020) <https://CRAN.R-project.org/package=ezr>.
Simmons et al. (2011) <doi:10.1177/0956797611417632>
Tingley et al. (2019) <https://CRAN.R-project.org/package=mediation>.
Wickham et al. (2020) <https://CRAN.R-project.org/package=ggplot2>.

Jin Kim

exploratory

A Tool for Large-Scale Exploratory Analyses

compare_groups 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>
<dt>mann_whitney</dt>
<dd>if <code>mann_whitney = TRUE</code>, Mann-Whitney test
results will be included in the pairwise comparison data.table.
If <code>mann_whitney = FALSE</code>, Mann-Whitney tests will not be performed.</dd>
<dt>t_test_stats</dt>
<dd>if <code>t_test_stats = TRUE</code>, t-test statistic
and degrees of freedom will be included in the pairwise
comparison data.table.</dd></dl>

Arguments

Compare groups — compare_groups

<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>


<dt>mann_whitney</dt>
<dd>if <code>mann_whitney = TRUE</code>, Mann-Whitney test
results will be included in the pairwise comparison data.table.
If <code>mann_whitney = FALSE</code>, Mann-Whitney tests will not be performed.</dd>


<dt>t_test_stats</dt>
<dd>if <code>t_test_stats = TRUE</code>, t-test statistic
and degrees of freedom will be included in the pairwise
comparison data.table.</dd>

</dl>

compare_groups: Compare groups

Description

Usage

Value

Arguments

Examples