## Reference-scaling: USE PowerTOST [Power / Sample Size]

Dear Helmut!

Thank you for enlightening this question!

The advantage of R is doubtless. I just wanted to show FARTSSIE not worser than other rude methods of sample size estimation (remember nomogram and so on).

(Sorry, I've made a mistake in the previous post, the data from the paper refers to partial replicate design 2x3x3.)

By the way, for extreme numbers from the paper by Endrényi L, Tóthfalusi L. we also get slightly underpowered study:

power.scABEL(CV=0.8,n=54,theta0=0.95,design="2x3x3") [1] 0.79917 power.scABEL(CV=0.8,n=72,theta0=0.9,design="2x3x3") [1] 0.79782

"Being in minority, even a minority of one, did not make you mad"