anofaES: Computing effect size within the ANOFA.

In ANOFA: Analyses of Frequency Data

Computing effect size within the ANOFA.

Description

The function anofaES() compute effect size from observed frequencies according to the ANOFA framework. See \insertCitelc23b;textualANOFA for more.

Usage

anofaES( props )

Arguments

props

the expected proportions;

Details

The effect size is given as an eta-square.

Value

The predicted effect size from a population with the given proportions.

References

\insertAllCited

Examples

# if we assume the following proportions:
pred <- c(.35, .25, .25, .15)

# then eta-square is given by 
anofaES( pred )

ANOFA documentation built on Nov. 18, 2023, 5:06 p.m.