ES.anova.oneway: Calculating effect size (Cohen's f) of one-way anova for...

In powerAnalysis: Power Analysis in Experimental Design

Description

Calculating effect size (Cohen's f) of one-way anova for means with equal observations in each group

Usage

ES.anova.oneway(data = NULL, sst = NULL, ssb = NULL)

Arguments

data	a matrix or data frame
sst	total sum of squares
ssb	sum of squares between groups

Examples

set.seed(9);x=rnorm(50);y=rnorm(50)
z=rnorm(50);d=data.frame(x,y,z)
ES.anova.oneway(data=d)

ES.anova.oneway(sst=50,ssb=1)

Example output

     effect size (Cohen's f) of one-way anova test for means 

              f = 0.04246128
            sst = 140.6374
            ssb = 0.2531073

NOTE: small effect size:  f = 0.1
      medium effect size: f = 0.25
      large effect size:  f = 0.4


     effect size (Cohen's f) of one-way anova test for means 

              f = 0.1428571
            sst = 50
            ssb = 1

NOTE: small effect size:  f = 0.1
      medium effect size: f = 0.25
      large effect size:  f = 0.4

powerAnalysis documentation built on May 2, 2019, 12:40 p.m.