wmcpAKP: Effect size for dependent samples ANOVA

In WRS2: A Collection of Robust Statistical Methods

Effect size for dependent samples ANOVA

Description

Compute an AKP-type effect size for dependent sample ANOVA

Usage

wmcpAKP(x, tr = 0.2, nboot = 200, ...)

Arguments

x	data frame in wide format (no missing values allowed)
tr	trim level for the means.
nboot	number of bootstrap samples.
...	currently ignored.

Details

The computation is based on a modification of the Algina-Keselman-Penfield effect size for J dependent samples.

References

Algina, J., Keselman, H.J., & Penfield, R.D. (2005). An alternative to Cohen's standardized mean difference effect size: A robust parameter and confidence interval in the two independent groups case. Psychological Methods, 10, 317-328.

See Also

rmanova, yuend

Examples

## Not run: 
require(reshape)
WineLong <- cast(WineTasting, Taster ~ Wine, value = "Taste")[,-1]
set.seed(123)
effsize <- wmcpAKP(WineLong, nboot = 20)
effsize

## End(Not run)

WRS2 documentation built on Nov. 2, 2023, 6:25 p.m.