t-test

A small synthetic dataset included with AssumpSure for demonstrating
independent and paired t-tests in the Continuous Data Tests tab.

A 'shiny' application to assess statistical assumptions and guide users toward appropriate tests. The app is designed for researchers with minimal statistical training and provides diagnostics, plots, and test recommendations for a wide range of analyses. Many statistical assumptions are implemented using the package 'rstatix' (Kassambara, 2019) <doi:10.32614/CRAN.package.rstatix> and 'performance' (Lüdecke et al., 2021) <doi:10.21105/joss.03139>.

Ahmed Bargheet

AssumpSure

'shiny' Application for Statistical Test Assumption Checking and
Guidance

t-test function

A CSV file with 85 rows and 5 columns:<dl>
<dt>Plant</dt>
<dd>Plant number.</dd><dt>Type</dt>
<dd>Treatment group.</dd><dt>Treatment</dt>
<dd>Treatment type.</dd><dt>conc</dt>
<dd>Treatment concentration.</dd><dt>uptake</dt>
<dd>Uptake value.</dd>
</dl>

Format

Example Dataset for t-tests — t-test

A CSV file with 85 rows and 5 columns:<dl>
<dt>Plant</dt>
<dd>Plant number.</dd>

<dt>Type</dt>
<dd>Treatment group.</dd>

<dt>Treatment</dt>
<dd>Treatment type.</dd>

<dt>conc</dt>
<dd>Treatment concentration.</dd>

<dt>uptake</dt>
<dd>Uptake value.</dd>


</dl>

t-test: Example Dataset for t-tests

Description

Arguments

Format

Details

Examples