es.fsq.overall

Computes the f-squared (f^2) effect size for an overall F test in a multiple linear regression model
based on the model R^2 (Rsq). Based on Cohen (1988).

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.overall function

<dl><dt>Rsq</dt>
<dd>The squared sample multiple correlation coefficient.</dd></dl>

Arguments

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

<dl>

<dt>Rsq</dt>
<dd>The squared sample multiple correlation coefficient.</dd>

</dl>

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

Description

Usage

Value

Arguments

Details

Examples