es.anova.f

Calculates teh Cohen f effect size for a one- or two-way ANOVA.
Takes as input the cell or group means for a one- or two-way ANOVA and the common
standard deviation and outputs the f effect size, as defined by Cohen (1988). Note that
this effect size calculation is only valid when cell/group sizes are equal.

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.anova.f function

<dl><dt>means</dt>
<dd>A vector or matrix of group means.</dd>
<dt>sd</dt>
<dd>The estimated standard deviation within each group.</dd>
<dt>v</dt>
<dd>Either TRUE for verbose output or FALSE to output computed argument only.</dd></dl>

Arguments

Cohen f effect size calculation for one- or two- way analysis of variance — es.anova.f

<dl>

<dt>means</dt>
<dd>A vector or matrix of group means.</dd>


<dt>sd</dt>
<dd>The estimated standard deviation within each group.</dd>


<dt>v</dt>
<dd>Either TRUE for verbose output or FALSE to output computed argument only.</dd>

</dl>

es.anova.f: Cohen f effect size calculation for one- or two- way analysis of variance

Description

Usage

Value

Arguments

Details

Examples