anova1way.F.unbal

Performs power calculation for an unbalanced (unequal group sizes)
one-way ANOVA omnibus F test, which tests for any differences among group means.
This function solves for power given other parameters. For balanced data
(equal-sized groups), anova1way.F.bal can be used and solves for more
parameters.

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

anova1way.F.unbal function

<dl><dt>nvec</dt>
<dd>A vector of group sample sizes c(n1, n2, ...).</dd>
<dt>mvec</dt>
<dd>A vector of group mvec c(mu1, mu2, ...).</dd>
<dt>sd</dt>
<dd>The estimated standard deviation within each group.</dd>
<dt>Rsq</dt>
<dd>The estimated R^2 for regressing the outcome on the covariates; defaults to 0.</dd>
<dt>ncov</dt>
<dd>The number of covariates adjusted for in the model; defaults to 0.</dd>
<dt>alpha</dt>
<dd>The significance level or type 1 error rate; defaults to 0.05.</dd>
<dt>v</dt>
<dd>Either TRUE for verbose output or FALSE to output computed argument only.</dd></dl>

Arguments

Power calculation for unbalanced one-way analysis of variance omnibus F test — anova1way.F.unbal

<dl>

<dt>nvec</dt>
<dd>A vector of group sample sizes c(n1, n2, ...).</dd>


<dt>mvec</dt>
<dd>A vector of group mvec c(mu1, mu2, ...).</dd>


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


<dt>Rsq</dt>
<dd>The estimated R^2 for regressing the outcome on the covariates; defaults to 0.</dd>


<dt>ncov</dt>
<dd>The number of covariates adjusted for in the model; defaults to 0.</dd>


<dt>alpha</dt>
<dd>The significance level or type 1 error rate; defaults to 0.05.</dd>


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

</dl>

anova1way.F.unbal: Power calculation for unbalanced one-way analysis of variance omnibus F test

Description

Usage

Value

Arguments

Examples