pRep4 | R Documentation |
The first step of this function involves generating a higher associate PBIB (partially balanced incomplete block) design consisting of two sets of blocks. Subsequently, by creating various combinations of these two sets of blocks, it generates multiple p-rep designs in different environments with unequal block sizes.
pRep4(v, m, s, randomized_layout = FALSE)
v |
Total number of treatments (v = 2ms*(s-1)) |
m |
Positive integer (m>=1) |
s |
Positive integer (s>=3) |
randomized_layout |
TRUE or FALSE. By default it is FALSE. |
This function calculates design parameters (v, b1, b2, r, k1, k2), average variance factors, and canonical efficiency factors of generated designs.
## Not run:
library(pRepDesigns)
pRep4(48, 2, 4)
## End(Not run)
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