es.fsq.partial

Computes the f-squared (f^2) effect size for a partial F test in a multiple linear regression model
using either model R^2 (Rsq) values or a partial correlation. Based on Cohen (1988). (EDIT THIS)

Power and sample size calculations for a variety of study designs and
outcomes. Methods include t tests, ANOVA (including tests for interactions,
simple effects and contrasts), proportions, categorical data (chi-square tests
and proportional odds), linear, logistic and Poisson regression, alternative
and coprimary endpoints, power for confidence intervals, correlation
coefficient tests, cluster randomized trials, individually randomized group
treatment trials, multisite trials, treatment-by-covariate interaction effects
and nonparametric tests of location. Utilities are provided for
computing various effect sizes. Companion package to the book
"Power and Sample Size in R", Crespi (2025, ISBN:9781138591622).
Further resources available at <https://powerandsamplesize.org/>.

Catherine M. Crespi

powertools

Power and Sample Size Tools

Zichen Liu

Kristen M. McGreevy

es.fsq.partial function

<dl><dt>Rsq.red</dt>
<dd>The squared population multiple correlation coefficient for the reduced model. Either 2 out of 3 Rsq terms OR pc must be specified.</dd>
<dt>Rsq.full</dt>
<dd>The squared population multiple correlation coefficient for the full model. Either 2 out of 3 Rsq terms OR pc must be specified.</dd>
<dt>Rsq.diff</dt>
<dd>The difference between the squared population multiple correlation coefficient for the full model and the reduced model. Either 2 out of 3 Rsq terms OR pc must be specified.</dd>
<dt>pc</dt>
<dd>The partial correlation coefficient. Either 2 out of 3 Rsq terms OR pc must be specified.</dd></dl>

Arguments

Cohen f-squared effect size for partial F test in multiple linear regression — es.fsq.partial

<dl>

<dt>Rsq.red</dt>
<dd>The squared population multiple correlation coefficient for the reduced model. Either 2 out of 3 Rsq terms OR pc must be specified.</dd>


<dt>Rsq.full</dt>
<dd>The squared population multiple correlation coefficient for the full model. Either 2 out of 3 Rsq terms OR pc must be specified.</dd>


<dt>Rsq.diff</dt>
<dd>The difference between the squared population multiple correlation coefficient for the full model and the reduced model. Either 2 out of 3 Rsq terms OR pc must be specified.</dd>


<dt>pc</dt>
<dd>The partial correlation coefficient. Either 2 out of 3 Rsq terms OR pc must be specified.</dd>

</dl>

es.fsq.partial: Cohen f-squared effect size for partial F test in multiple linear regression

Description

Usage

Value

Arguments

Details

Examples