compare_two_groups

Generates side-by-side boxplots and runs Shapiro-Wilk tests by group
to check for normality. If both groups are normally distributed,
an independent two-sample t-test is applied. Otherwise,
a Mann–Whitney U test (Wilcoxon rank-sum test) is performed.
Returns a structured list with plots and a clear test summary.

Provides functions to create side-by-side boxplots for a continuous variable grouped by a two-level categorical variable, check normality assumptions using the Shapiro-Wilk test (Shapiro and Wilk (1965) <doi:10.2307/2333709>), and perform appropriate statistical tests such as the independent two-sample t-test (Student (1908) <doi:10.1093/biomet/6.1.1>) or the Mann–Whitney U test ( Mann–Whitney (1947) <doi:10.1214/aoms/1177730491>). Returns a publication-ready plot and test statistics including test statistic, degrees of freedom, and p-value.

Arkaprabha Sau

boxTest

Boxplot and Significance Test for Two Groups

Santanu Phadikar

Ishita Bhakta

compare_two_groups function

<dl><dt>data</dt>
<dd>A data.frame containing the variables.</dd>
<dt>continuous</dt>
<dd>Name of continuous variable (string).</dd>
<dt>group</dt>
<dd>Name of categorical variable with exactly 2 levels (string).</dd></dl>

Arguments

Compare Two Groups with Boxplot and Significance Test — compare_two_groups

<dl>

<dt>data</dt>
<dd>A data.frame containing the variables.</dd>


<dt>continuous</dt>
<dd>Name of continuous variable (string).</dd>


<dt>group</dt>
<dd>Name of categorical variable with exactly 2 levels (string).</dd>

</dl>

compare_two_groups: Compare Two Groups with Boxplot and Significance Test

Description

Usage

Value

Arguments

Examples