regintR2

Compute Power for Regression Interaction (R2 Change Approach)

Statistical power analysis for designs including t-tests, correlations,
multiple regression, ANOVA, mediation, and logistic regression. Functions accompany
Aberson (2019) <doi:10.4324/9781315171500>.

Chris Aberson

pwr2ppl

Power Analyses for Common Designs (Power to the People)

regintR2 function

<dl><dt>R2Mod</dt>
<dd>Full Model R2</dd>
<dt>R2Ch</dt>
<dd>Change in R2 Added by Interaction</dd>
<dt>mod_pred</dt>
<dd>Full Model Number of Predictors</dd>
<dt>ch_pred</dt>
<dd>Change Model Number of Predictors</dd>
<dt>nlow</dt>
<dd>starting sample size</dd>
<dt>nhigh</dt>
<dd>ending sample size</dd>
<dt>by</dt>
<dd>incremental increase in sample (e.g. nlow = 10, nhigh = 24, by = 2, produces estimates of 10, 12, and 14)</dd>
<dt>alpha</dt>
<dd>Type I error (default is .05)</dd></dl>

Arguments

Compute Power for Regression Interaction (R2 Change Approach) — regintR2

<dl>

<dt>R2Mod</dt>
<dd>Full Model R2</dd>


<dt>R2Ch</dt>
<dd>Change in R2 Added by Interaction</dd>


<dt>mod_pred</dt>
<dd>Full Model Number of Predictors</dd>


<dt>ch_pred</dt>
<dd>Change Model Number of Predictors</dd>


<dt>nlow</dt>
<dd>starting sample size</dd>


<dt>nhigh</dt>
<dd>ending sample size</dd>


<dt>by</dt>
<dd>incremental increase in sample (e.g. nlow = 10, nhigh = 24, by = 2, produces estimates of 10, 12, and 14)</dd>


<dt>alpha</dt>
<dd>Type I error (default is .05)</dd>

</dl>

regintR2: Compute Power for Regression Interaction (R2 Change Approach)

Description

Usage

Value

Arguments

Examples