How can I calculate confidence intervals for epsilon-squared (Effect size for Kruskal-Wallis test) in R? [closed]

I'd like to calculate the confidence intervals for the epsilon-squared effect size statistic in R. Here is the code I'm using to calculate the epsilon-squared value:

#set up two vectors, a numerical vector and a factor vector (grouping variable)
x=c(3,2,4,7,4,6,9,2,3,4,1,0,8,6,9,5,3,3,6,7,8,2,8,9)
y=as.factor(c(rep("cond1",12),rep("cond2",12)))

#run kruskal-wallis test
kruskal.test(x~y)
library(rcompanion)
df=data.frame(x,y)

#calculate epsilon squared
epsilonSquared(x = df$$x, g = df$$y)

This gives me my effect size. But the function only outputs a single figure. How can I calculate the confidence intervals of the effect size, please?

closed as off-topic by mkt, mdewey, Michael Chernick, Peter Flom♦Feb 9 at 11:26

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epsilonSquared(x = df$$x, g = df$$y, ci = TRUE, conf = 0.95)