mfcurve_preprocessing

Prepares the data and computes descriptive statistics and t-tests
for groups defined by combinations of categorical factors.

Implements multi-factor curve analysis for grouped data in 'R', replicating and
extending the functionality of the the 'Stata' ado 'mfcurve' (Krähmer, 2023) <https://ideas.repec.org/c/boc/bocode/s459224.html>.
Related to the idea of specification curve analysis (Simonsohn, Simmons, and Nelson, 2020) <doi:10.1038/s41562-020-0912-z>.
Includes data preprocessing, statistical testing, and visualization of results with confidence intervals.

Maximilian Frank

mfcurve

Multi-Factor Curve Analysis for Grouped Data in 'R'

Daniel Krähmer

Claudia Weileder

mfcurve_preprocessing function

<dl><dt>data</dt>
<dd>Data frame containing the variables.</dd>
<dt>outcome</dt>
<dd>Name of the numeric outcome variable (string).</dd>
<dt>factors</dt>
<dd>Character vector of factor variable names for grouping.</dd>
<dt>alpha</dt>
<dd>Significance level for the t-tests and confidence intervals. Default is 0.05.</dd>
<dt>test</dt>
<dd>Reference for t-tests: "mean" (grand mean), "leave-one-out" (mean of all other groups), or "zero" (testing against 0).</dd></dl>

Arguments

Preprocess data and compute group statistics — mfcurve_preprocessing

<dl>

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


<dt>outcome</dt>
<dd>Name of the numeric outcome variable (string).</dd>


<dt>factors</dt>
<dd>Character vector of factor variable names for grouping.</dd>


<dt>alpha</dt>
<dd>Significance level for the t-tests and confidence intervals. Default is 0.05.</dd>


<dt>test</dt>
<dd>Reference for t-tests: "mean" (grand mean), "leave-one-out" (mean of all other groups), or "zero" (testing against 0).</dd>

</dl>

mfcurve_preprocessing: Preprocess data and compute group statistics

Description

Usage

Value

Arguments