I need to run an A-B testing with one control group (40%) and 3 variants (20%) each.
Base line = 0.65
Target lift = 0.25
Confidence = 95%
I found following R code to find minimum sample size for two variants.
power.prop.test(p1=.65,p2=.65*1.25,power=.8, alternative="one.sided", sig.level = 0.05)
How to calculate sample size needed for A-B testing considering there are 3 variants(60%) and one control group (40%)?