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The primary purpose of this function is to generate various proper p-rep designs for multi-environmental trials.
pRep5(v, m, s, randomized_layout = FALSE)
This function calculates design parameters (v, b, r, k), average variance factors, and canonical efficiency factors of generated designs.
Total number of treatments (v = 2ms^2)
Positive integer (m>=1)
Positive integer (s>=2)
TRUE or FALSE. By default it is FALSE.
if (FALSE) { library(pRepDesigns) pRep5(64, 2, 4) }
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