anofaES {ANOFA}

Computing effect size within the ANOFA.

Description

The function anofaES() compute effect size from observed frequencies according to the ANOFA framework. See Laurencelle and Cousineau (2023) 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

Laurencelle L, Cousineau D (2023). “Analysis of frequency tables: The ANOFA framework.” The Quantitative Methods for Psychology, 19, 173–193. doi:10.20982/tqmp.19.2.p173.

Examples

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

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